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  {
    "Mean IoU": 40.13,
    "code_links": [],
    "date": "2019-10-01",
    "date2": 20191001,
    "model": "SkyScapesNet-Dense",
    "paper": {
      "title": "SkyScapes Fine-Grained Semantic Understanding of Aerial Scenes",
      "url": "https://cknow.io/lib/6da9f14e1d59fea4"
    },
    "paper_data_uoa": "6da9f14e1d59fea4"
  },
  {
    "Mean IoU": 38.2,
    "code_links": [
      {
        "title": "tensorflow/models",
        "url": "https://github.com/tensorflow/models/tree/master/research/deeplab"
      },
      {
        "title": "jfzhang95/pytorch-deeplab-xception",
        "url": "https://github.com/jfzhang95/pytorch-deeplab-xception"
      },
      {
        "title": "bonlime/keras-deeplab-v3-plus",
        "url": "https://github.com/bonlime/keras-deeplab-v3-plus"
      },
      {
        "title": "y-ouali/pytorch_segmentation",
        "url": "https://github.com/y-ouali/pytorch_segmentation"
      },
      {
        "title": "tantara/JejuNet",
        "url": "https://github.com/tantara/JejuNet"
      },
      {
        "title": "srihari-humbarwadi/DeepLabV3_Plus-Tensorflow2.0",
        "url": "https://github.com/srihari-humbarwadi/DeepLabV3_Plus-Tensorflow2.0"
      },
      {
        "title": "nolanliou/PeopleSegmentationDemo",
        "url": "https://github.com/nolanliou/PeopleSegmentationDemo"
      },
      {
        "title": "leimao/DeepLab_v3",
        "url": "https://github.com/leimao/DeepLab_v3"
      },
      {
        "title": "parachutel/deeplabv3plus_on_Mapillary_Vistas",
        "url": "https://github.com/parachutel/deeplabv3plus_on_Mapillary_Vistas"
      },
      {
        "title": "mathildor/DeepLab-v3",
        "url": "https://github.com/mathildor/DeepLab-v3"
      },
      {
        "title": "petko-nikolov/pysemseg",
        "url": "https://github.com/petko-nikolov/pysemseg"
      },
      {
        "title": "GuangyanZhang/SCNN-Deeplabv3-bisenet-icnet",
        "url": "https://github.com/GuangyanZhang/SCNN-Deeplabv3-bisenet-icnet"
      },
      {
        "title": "shenshutao/image_segmentation",
        "url": "https://github.com/shenshutao/image_segmentation"
      },
      {
        "title": "kekeller/semantic_soy_deeplabv3plus",
        "url": "https://github.com/kekeller/semantic_soy_deeplabv3plus"
      },
      {
        "title": "Vignesh-95/cnn-semantic-segmentation-satellite-images",
        "url": "https://github.com/Vignesh-95/cnn-semantic-segmentation-satellite-images"
      },
      {
        "title": "JinyongJeong/DeeplabV3_Apolloscape_and_CityScape",
        "url": "https://github.com/JinyongJeong/DeeplabV3_Apolloscape_and_CityScape"
      },
      {
        "title": "giovanniguidi/deeplabV3-PyTorch",
        "url": "https://github.com/giovanniguidi/deeplabV3-PyTorch"
      },
      {
        "title": "giovanniguidi/deeplabV3_Pytorch",
        "url": "https://github.com/giovanniguidi/deeplabV3_Pytorch"
      },
      {
        "title": "LancerLiuSong/Reading-List",
        "url": "https://github.com/LancerLiuSong/Reading-List"
      },
      {
        "title": "kaichoulyc/course_segmentation",
        "url": "https://github.com/kaichoulyc/course_segmentation"
      },
      {
        "title": "zhuang42/csc420",
        "url": "https://github.com/zhuang42/csc420"
      },
      {
        "title": "heidongxianhau/deeplab2",
        "url": "https://github.com/heidongxianhau/deeplab2"
      },
      {
        "title": "kawausomando/green_vegetation_v2",
        "url": "https://github.com/kawausomando/green_vegetation_v2"
      },
      {
        "title": "AutomatedAI/deeplab_inference",
        "url": "https://github.com/AutomatedAI/deeplab_inference"
      },
      {
        "title": "smspillaz/seg-reg",
        "url": "https://github.com/smspillaz/seg-reg"
      },
      {
        "title": "Syarujianai/deeplab-commented",
        "url": "https://github.com/Syarujianai/deeplab-commented"
      },
      {
        "title": "chenmengyang/rename_later",
        "url": "https://github.com/chenmengyang/rename_later"
      },
      {
        "title": "EdwinAlegria/object_semantic_deeplabv3",
        "url": "https://github.com/EdwinAlegria/object_semantic_deeplabv3"
      },
      {
        "title": "sharifelguindi/DeepLab",
        "url": "https://github.com/sharifelguindi/DeepLab"
      },
      {
        "title": "Robinatp/Deeplab_Tensorflow",
        "url": "https://github.com/Robinatp/Deeplab_Tensorflow"
      },
      {
        "title": "AutomatedAI/deeplab_segmentation_example",
        "url": "https://github.com/AutomatedAI/deeplab_segmentation_example"
      },
      {
        "title": "SkyWa7ch3r/ImageSegmentation",
        "url": "https://github.com/SkyWa7ch3r/ImageSegmentation"
      },
      {
        "title": "SkyWa7ch3r/SceneSegmentation",
        "url": "https://github.com/SkyWa7ch3r/SceneSegmentation"
      },
      {
        "title": "Gregor-Mendel-Institute/aradeepopsis",
        "url": "https://github.com/Gregor-Mendel-Institute/aradeepopsis"
      },
      {
        "title": "StringBottle/DeepLab-v3-pytorch",
        "url": "https://github.com/StringBottle/DeepLab-v3-pytorch"
      }
    ],
    "date": "2018-02-07",
    "date2": 20180207,
    "model": "DeepLabv3+",
    "paper": {
      "title": "Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation",
      "url": "https://cknow.io/lib/198a075327054f47"
    },
    "paper_data_uoa": "198a075327054f47"
  },
  {
    "Mean IoU": 33.06,
    "code_links": [
      {
        "title": "andyzeng/apc-vision-toolbox",
        "url": "https://github.com/andyzeng/apc-vision-toolbox"
      },
      {
        "title": "martinkersner/py_img_seg_eval",
        "url": "https://github.com/martinkersner/py_img_seg_eval"
      },
      {
        "title": "shenshutao/image_segmentation",
        "url": "https://github.com/shenshutao/image_segmentation"
      },
      {
        "title": "azraelzhor/tf-FCN",
        "url": "https://github.com/azraelzhor/tf-FCN"
      },
      {
        "title": "giovanniguidi/FCN-keras",
        "url": "https://github.com/giovanniguidi/FCN-keras"
      },
      {
        "title": "jqueguiner/camembert-as-a-service",
        "url": "https://github.com/jqueguiner/camembert-as-a-service"
      },
      {
        "title": "tsixta/jnet",
        "url": "https://github.com/tsixta/jnet"
      },
      {
        "title": "jqueguiner/image-segmentation",
        "url": "https://github.com/jqueguiner/image-segmentation"
      },
      {
        "title": "demul/image_segmentation_project",
        "url": "https://github.com/demul/image_segmentation_project"
      },
      {
        "title": "SDMrFeng/quiz-w10-fcn",
        "url": "https://github.com/SDMrFeng/quiz-w10-fcn"
      },
      {
        "title": "anoushkrit/Knowledge",
        "url": "https://github.com/anoushkrit/Knowledge"
      },
      {
        "title": "YigeunLee/fcn32",
        "url": "https://github.com/YigeunLee/fcn32"
      },
      {
        "title": "lanthlove/segmentation-fcn",
        "url": "https://github.com/lanthlove/segmentation-fcn"
      },
      {
        "title": "stoensin/w10-cnn-SegmentationClass",
        "url": "https://github.com/stoensin/w10-cnn-SegmentationClass"
      },
      {
        "title": "SophiaYuSophiaYu/FCN_SemanticSegmentation",
        "url": "https://github.com/SophiaYuSophiaYu/FCN_SemanticSegmentation"
      },
      {
        "title": "koryako/AI-application",
        "url": "https://github.com/koryako/AI-application"
      },
      {
        "title": "hitukensinn/quiz-w9-code",
        "url": "https://github.com/hitukensinn/quiz-w9-code"
      },
      {
        "title": "sigtot/unet-auto",
        "url": "https://github.com/sigtot/unet-auto"
      },
      {
        "title": "LeeMax117/FCN_8s",
        "url": "https://github.com/LeeMax117/FCN_8s"
      },
      {
        "title": "GodPater/model_fcn",
        "url": "https://github.com/GodPater/model_fcn"
      },
      {
        "title": "kbardool/mrcnn3",
        "url": "https://github.com/kbardool/mrcnn3"
      },
      {
        "title": "pessimiss/ai100-w9-master",
        "url": "https://github.com/pessimiss/ai100-w9-master"
      },
      {
        "title": "muramasa8191/DeepLearning",
        "url": "https://github.com/muramasa8191/DeepLearning"
      },
      {
        "title": "LeeMax117/week10_homework",
        "url": "https://github.com/LeeMax117/week10_homework"
      },
      {
        "title": "windar427/W10_work",
        "url": "https://github.com/windar427/W10_work"
      },
      {
        "title": "krutikabapat/Sematic_Segmentation_Using_Pytorch",
        "url": "https://github.com/krutikabapat/Sematic_Segmentation_Using_Pytorch"
      },
      {
        "title": "guilhermesantos/Semantic-Image-Segmentation",
        "url": "https://github.com/guilhermesantos/Semantic-Image-Segmentation"
      },
      {
        "title": "zhikunluo/semantic-segmentation-collection",
        "url": "https://github.com/zhikunluo/semantic-segmentation-collection"
      },
      {
        "title": "SethEBaldwin/FCN",
        "url": "https://github.com/SethEBaldwin/FCN"
      },
      {
        "title": "fxfviolet/FCN_for_segmantic_segmentation",
        "url": "https://github.com/fxfviolet/FCN_for_segmantic_segmentation"
      },
      {
        "title": "Niloy-Chakraborty/Image_Segmentation_Model",
        "url": "https://github.com/Niloy-Chakraborty/Image_Segmentation_Model"
      },
      {
        "title": "Muniuliuma/FCN_8s",
        "url": "https://github.com/Muniuliuma/FCN_8s"
      },
      {
        "title": "TianchengQ/FCN",
        "url": "https://github.com/TianchengQ/FCN"
      },
      {
        "title": "zhuyi55/week10",
        "url": "https://github.com/zhuyi55/week10"
      },
      {
        "title": "colorfulxd/WK10_FCN",
        "url": "https://github.com/colorfulxd/WK10_FCN"
      },
      {
        "title": "resonance20/segmenter",
        "url": "https://github.com/resonance20/segmenter"
      }
    ],
    "date": "2014-11-14",
    "date2": 20141114,
    "model": "FCN8s (ResNet-50)",
    "paper": {
      "title": "Fully Convolutional Networks for Semantic Segmentation",
      "url": "https://cknow.io/lib/d657944208000a35"
    },
    "paper_data_uoa": "d657944208000a35"
  },
  {
    "Mean IoU": 30.82,
    "code_links": [
      {
        "title": "ycszen/TorchSeg",
        "url": "https://github.com/ycszen/TorchSeg"
      },
      {
        "title": "ooooverflow/BiSeNet",
        "url": "https://github.com/ooooverflow/BiSeNet"
      },
      {
        "title": "ycszen/BiSeNet",
        "url": "https://github.com/ycszen/BiSeNet"
      },
      {
        "title": "kirilcvetkov92/Semantic-Segmentation",
        "url": "https://github.com/kirilcvetkov92/Semantic-Segmentation"
      },
      {
        "title": "pdoublerainbow/bisenet-tensorflow",
        "url": "https://github.com/pdoublerainbow/bisenet-tensorflow"
      },
      {
        "title": "Blaizzy/BiSeNet-Implementation",
        "url": "https://github.com/Blaizzy/BiSeNet-Implementation"
      },
      {
        "title": "GuangyanZhang/SCNN-Deeplabv3-bisenet-icnet",
        "url": "https://github.com/GuangyanZhang/SCNN-Deeplabv3-bisenet-icnet"
      },
      {
        "title": "Shuai-Xie/BiSeNet-CCP",
        "url": "https://github.com/Shuai-Xie/BiSeNet-CCP"
      }
    ],
    "date": "2018-08-02",
    "date2": 20180802,
    "model": "BiSeNet (ResNet-50)",
    "paper": {
      "title": "BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation",
      "url": "https://cknow.io/lib/7f0020f42ac91801"
    },
    "paper_data_uoa": "7f0020f42ac91801"
  },
  {
    "Mean IoU": 24.73,
    "code_links": [
      {
        "title": "DeepMotionAIResearch/DenseASPP",
        "url": "https://github.com/DeepMotionAIResearch/DenseASPP"
      }
    ],
    "date": "2018-06-01",
    "date2": 20180601,
    "model": "DenseASPP (ResNet-101)",
    "paper": {
      "title": "DenseASPP for Semantic Segmentation in Street Scenes",
      "url": "https://cknow.io/lib/44fb683939043f6a"
    },
    "paper_data_uoa": "44fb683939043f6a"
  },
  {
    "Mean IoU": 23.14,
    "code_links": [
      {
        "title": "divamgupta/image-segmentation-keras",
        "url": "https://github.com/divamgupta/image-segmentation-keras"
      },
      {
        "title": "alexgkendall/caffe-segnet",
        "url": "https://github.com/alexgkendall/caffe-segnet"
      },
      {
        "title": "alexgkendall/SegNet-Tutorial",
        "url": "https://github.com/alexgkendall/SegNet-Tutorial"
      },
      {
        "title": "tkuanlun350/Tensorflow-SegNet",
        "url": "https://github.com/tkuanlun350/Tensorflow-SegNet"
      },
      {
        "title": "y-ouali/pytorch_segmentation",
        "url": "https://github.com/y-ouali/pytorch_segmentation"
      },
      {
        "title": "PRBonn/bonnet",
        "url": "https://github.com/PRBonn/bonnet"
      },
      {
        "title": "arahusky/Tensorflow-Segmentation",
        "url": "https://github.com/arahusky/Tensorflow-Segmentation"
      },
      {
        "title": "navganti/SIVO",
        "url": "https://github.com/navganti/SIVO"
      },
      {
        "title": "preddy5/segnet",
        "url": "https://github.com/preddy5/segnet"
      },
      {
        "title": "TimoSaemann/caffe-segnet-cudnn5",
        "url": "https://github.com/TimoSaemann/caffe-segnet-cudnn5"
      },
      {
        "title": "vqdang/xy_net",
        "url": "https://github.com/vqdang/xy_net"
      },
      {
        "title": "vqdang/hover_net",
        "url": "https://github.com/vqdang/hover_net"
      },
      {
        "title": "JosephPB/XNet",
        "url": "https://github.com/JosephPB/XNet"
      },
      {
        "title": "ankit-ai/GAN_breast_mammography_segmentation",
        "url": "https://github.com/ankit-ai/GAN_breast_mammography_segmentation"
      },
      {
        "title": "neuropoly/multiclass-segmentation",
        "url": "https://github.com/neuropoly/multiclass-segmentation"
      },
      {
        "title": "ArkaJU/SegNet---Chromosome",
        "url": "https://github.com/ArkaJU/SegNet---Chromosome"
      },
      {
        "title": "Lkruitwagen/remote-sensing-solar-pv",
        "url": "https://github.com/Lkruitwagen/remote-sensing-solar-pv"
      },
      {
        "title": "jqueguiner/camembert-as-a-service",
        "url": "https://github.com/jqueguiner/camembert-as-a-service"
      },
      {
        "title": "yinanzhu12/SegNet-keras-implementation",
        "url": "https://github.com/yinanzhu12/SegNet-keras-implementation"
      },
      {
        "title": "yinanzhu12/SegNet-keras",
        "url": "https://github.com/yinanzhu12/SegNet-keras"
      },
      {
        "title": "jqueguiner/image-segmentation",
        "url": "https://github.com/jqueguiner/image-segmentation"
      },
      {
        "title": "alejandrodebus/SegNet",
        "url": "https://github.com/alejandrodebus/SegNet"
      },
      {
        "title": "arsalhuda24/SS_lstm",
        "url": "https://github.com/arsalhuda24/SS_lstm"
      },
      {
        "title": "XiangbingJi/Stanford-cs230-final-project",
        "url": "https://github.com/XiangbingJi/Stanford-cs230-final-project"
      },
      {
        "title": "Tez01/SegNet-Keras-Implementation",
        "url": "https://github.com/Tez01/SegNet-Keras-Implementation"
      },
      {
        "title": "falreis/segmentation-eval",
        "url": "https://github.com/falreis/segmentation-eval"
      },
      {
        "title": "hosshonarvar/Image-Segmentation",
        "url": "https://github.com/hosshonarvar/Image-Segmentation"
      },
      {
        "title": "tday01/CS193-Project",
        "url": "https://github.com/tday01/CS193-Project"
      },
      {
        "title": "s9mondal9upriti/Segnet",
        "url": "https://github.com/s9mondal9upriti/Segnet"
      },
      {
        "title": "rotemgoren/segNet",
        "url": "https://github.com/rotemgoren/segNet"
      },
      {
        "title": "ajjdan/KaI",
        "url": "https://github.com/ajjdan/KaI"
      },
      {
        "title": "navganti/SegNet",
        "url": "https://github.com/navganti/SegNet"
      },
      {
        "title": "resonance20/segmenter",
        "url": "https://github.com/resonance20/segmenter"
      },
      {
        "title": "alexandrelewin/FollowMe",
        "url": "https://github.com/alexandrelewin/FollowMe"
      },
      {
        "title": "Zhanghongbin-github/SegNet-Tutorial",
        "url": "https://github.com/Zhanghongbin-github/SegNet-Tutorial"
      },
      {
        "title": "HAN-ARK/GVSS-S.A.Drone",
        "url": "https://github.com/HAN-ARK/GVSS-S.A.Drone"
      },
      {
        "title": "amaurylekens/SDC_Segnet",
        "url": "https://github.com/amaurylekens/SDC_Segnet"
      },
      {
        "title": "NeuronDroid/GVSS-S.A.Drone",
        "url": "https://github.com/NeuronDroid/GVSS-S.A.Drone"
      },
      {
        "title": "TqDavid/td",
        "url": "https://github.com/TqDavid/td"
      },
      {
        "title": "RajkumarPreetham/Road-scene-understanding",
        "url": "https://github.com/RajkumarPreetham/Road-scene-understanding"
      },
      {
        "title": "billlyzhaoyh/SegNetFromScratch",
        "url": "https://github.com/billlyzhaoyh/SegNetFromScratch"
      },
      {
        "title": "DarkGeekMS/Semantic_Segmentation_Models_Keras",
        "url": "https://github.com/DarkGeekMS/Semantic_Segmentation_Models_Keras"
      },
      {
        "title": "okn-yu/SegNet-A-Deep-Convolutional-Encoder-Decoder-Architecture-for-Image-Segmentation",
        "url": "https://github.com/okn-yu/SegNet-A-Deep-Convolutional-Encoder-Decoder-Architecture-for-Image-Segmentation"
      }
    ],
    "date": "2015-11-02",
    "date2": 20151102,
    "model": "SegNet",
    "paper": {
      "title": "SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation",
      "url": "https://cknow.io/lib/2b85472fa0314713"
    },
    "paper_data_uoa": "2b85472fa0314713"
  },
  {
    "Mean IoU": 14.15,
    "code_links": [
      {
        "title": "milesial/Pytorch-UNet",
        "url": "https://github.com/milesial/Pytorch-UNet"
      },
      {
        "title": "qubvel/segmentation_models",
        "url": "https://github.com/qubvel/segmentation_models"
      },
      {
        "title": "jakeret/tf_unet",
        "url": "https://github.com/jakeret/tf_unet"
      },
      {
        "title": "divamgupta/image-segmentation-keras",
        "url": "https://github.com/divamgupta/image-segmentation-keras"
      },
      {
        "title": "orobix/retina-unet",
        "url": "https://github.com/orobix/retina-unet"
      },
      {
        "title": "LeeJunHyun/Image_Segmentation",
        "url": "https://github.com/LeeJunHyun/Image_Segmentation"
      },
      {
        "title": "ternaus/TernausNetV2",
        "url": "https://github.com/ternaus/TernausNetV2"
      },
      {
        "title": "bigmb/Unet-Segmentation-Pytorch-Nest-of-Unets",
        "url": "https://github.com/bigmb/Unet-Segmentation-Pytorch-Nest-of-Unets"
      },
      {
        "title": "yassouali/pytorch_segmentation",
        "url": "https://github.com/yassouali/pytorch_segmentation"
      },
      {
        "title": "xamyzhao/brainstorm",
        "url": "https://github.com/xamyzhao/brainstorm"
      },
      {
        "title": "minerva-ml/open-solution-mapping-challenge",
        "url": "https://github.com/minerva-ml/open-solution-mapping-challenge"
      },
      {
        "title": "mateuszbuda/brain-segmentation-pytorch",
        "url": "https://github.com/mateuszbuda/brain-segmentation-pytorch"
      },
      {
        "title": "ZFTurbo/ZF_UNET_224_Pretrained_Model",
        "url": "https://github.com/ZFTurbo/ZF_UNET_224_Pretrained_Model"
      },
      {
        "title": "EdwardTyantov/ultrasound-nerve-segmentation",
        "url": "https://github.com/EdwardTyantov/ultrasound-nerve-segmentation"
      },
      {
        "title": "andrewowens/multisensory",
        "url": "https://github.com/andrewowens/multisensory"
      },
      {
        "title": "jvanvugt/pytorch-unet",
        "url": "https://github.com/jvanvugt/pytorch-unet"
      },
      {
        "title": "ImagingLab/Colorizing-with-GANs",
        "url": "https://github.com/ImagingLab/Colorizing-with-GANs"
      },
      {
        "title": "rezazad68/BCDU-Net",
        "url": "https://github.com/rezazad68/BCDU-Net"
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      {
        "title": "manideep2510/eye-in-the-sky",
        "url": "https://github.com/manideep2510/eye-in-the-sky"
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      {
        "title": "ugent-korea/pytorch-unet-segmentation",
        "url": "https://github.com/ugent-korea/pytorch-unet-segmentation"
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      {
        "title": "preritj/segmentation",
        "url": "https://github.com/preritj/segmentation"
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      {
        "title": "TobiasGruening/ARU-Net",
        "url": "https://github.com/TobiasGruening/ARU-Net"
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      {
        "title": "koshian2/OctConv-TFKeras",
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      {
        "title": "pietz/unet-keras",
        "url": "https://github.com/pietz/unet-keras"
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      {
        "title": "vbelz/Speech-enhancement",
        "url": "https://github.com/vbelz/Speech-enhancement"
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      {
        "title": "hycis/TensorGraph",
        "url": "https://github.com/hycis/TensorGraph"
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      {
        "title": "lRomul/argus-tgs-salt",
        "url": "https://github.com/lRomul/argus-tgs-salt"
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      {
        "title": "perslev/MultiPlanarUNet",
        "url": "https://github.com/perslev/MultiPlanarUNet"
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      {
        "title": "YudeWang/UNet-Satellite-Image-Segmentation",
        "url": "https://github.com/YudeWang/UNet-Satellite-Image-Segmentation"
      },
      {
        "title": "ternaus/angiodysplasia-segmentation",
        "url": "https://github.com/ternaus/angiodysplasia-segmentation"
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      {
        "title": "tanyanair/segmentation_uncertainty",
        "url": "https://github.com/tanyanair/segmentation_uncertainty"
      },
      {
        "title": "qsyao/cuda_spatial_deform",
        "url": "https://github.com/qsyao/cuda_spatial_deform"
      },
      {
        "title": "nithi89/unet_darknet",
        "url": "https://github.com/nithi89/unet_darknet"
      },
      {
        "title": "vqdang/hover_net",
        "url": "https://github.com/vqdang/hover_net"
      },
      {
        "title": "gvtulder/elasticdeform",
        "url": "https://github.com/gvtulder/elasticdeform"
      },
      {
        "title": "vqdang/xy_net",
        "url": "https://github.com/vqdang/xy_net"
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      {
        "title": "Jack-Etheredge/Brain-Tumor-Segmentation-3D-UNet-CNN",
        "url": "https://github.com/Jack-Etheredge/Brain-Tumor-Segmentation-3D-UNet-CNN"
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      {
        "title": "pydsgz/DeepVOG",
        "url": "https://github.com/pydsgz/DeepVOG"
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      {
        "title": "JosephPB/XNet",
        "url": "https://github.com/JosephPB/XNet"
      },
      {
        "title": "LilyHu/image_segmentation_chromosomes",
        "url": "https://github.com/LilyHu/image_segmentation_chromosomes"
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      {
        "title": "1044197988/TF.Keras-Commonly-used-models",
        "url": "https://github.com/1044197988/TF.Keras-Commonly-used-models"
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      {
        "title": "chinakook/U-Net",
        "url": "https://github.com/chinakook/U-Net"
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      {
        "title": "FelixGruen/tensorflow-u-net",
        "url": "https://github.com/FelixGruen/tensorflow-u-net"
      },
      {
        "title": "sraashis/deepdyn",
        "url": "https://github.com/sraashis/deepdyn"
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      {
        "title": "sraashis/ature",
        "url": "https://github.com/sraashis/ature"
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      {
        "title": "vlievin/Unet",
        "url": "https://github.com/vlievin/Unet"
      },
      {
        "title": "cosmic-cortex/pytorch-UNet",
        "url": "https://github.com/cosmic-cortex/pytorch-UNet"
      },
      {
        "title": "fepegar/unet",
        "url": "https://github.com/fepegar/unet"
      },
      {
        "title": "ubamba98/Brain-Segmentation",
        "url": "https://github.com/ubamba98/Brain-Segmentation"
      },
      {
        "title": "ankit-ai/GAN_breast_mammography_segmentation",
        "url": "https://github.com/ankit-ai/GAN_breast_mammography_segmentation"
      },
      {
        "title": "raun1/MICCAI2018---Complementary_Segmentation_Network-Raw-Code",
        "url": "https://github.com/raun1/MICCAI2018---Complementary_Segmentation_Network-Raw-Code"
      },
      {
        "title": "raun1/Complementary_Segmentation_Network-Raw-Code-Available-Under-Construction-",
        "url": "https://github.com/raun1/Complementary_Segmentation_Network-Raw-Code-Available-Under-Construction-"
      },
      {
        "title": "raun1/MICCAI2018---Complementary_Segmentation_Network-Raw-Code-Available-Under-Construction-",
        "url": "https://github.com/raun1/MICCAI2018---Complementary_Segmentation_Network-Raw-Code-Available-Under-Construction-"
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      {
        "title": "IAmSuyogJadhav/Brainy",
        "url": "https://github.com/IAmSuyogJadhav/Brainy"
      },
      {
        "title": "K-Mike/Automatic-salt-deposits-segmentation",
        "url": "https://github.com/K-Mike/Automatic-salt-deposits-segmentation"
      },
      {
        "title": "alexklibisz/deep-calcium",
        "url": "https://github.com/alexklibisz/deep-calcium"
      },
      {
        "title": "petko-nikolov/pysemseg",
        "url": "https://github.com/petko-nikolov/pysemseg"
      },
      {
        "title": "plesqui/4d-cbct",
        "url": "https://github.com/plesqui/4d-cbct"
      },
      {
        "title": "pvjosue/LFMNet",
        "url": "https://github.com/pvjosue/LFMNet"
      },
      {
        "title": "mrvturan96/Brain-Tumor-Detection-and-Segmentation-using-Deep-Learning",
        "url": "https://github.com/mrvturan96/Brain-Tumor-Detection-and-Segmentation-using-Deep-Learning"
      },
      {
        "title": "vdurnov/xview2_1st_place_solution",
        "url": "https://github.com/vdurnov/xview2_1st_place_solution"
      },
      {
        "title": "a-martyn/unet",
        "url": "https://github.com/a-martyn/unet"
      },
      {
        "title": "neuropoly/multiclass-segmentation",
        "url": "https://github.com/neuropoly/multiclass-segmentation"
      },
      {
        "title": "galprz/brain-tumor-segemntation",
        "url": "https://github.com/galprz/brain-tumor-segemntation"
      },
      {
        "title": "xiey1/Nucleus_detection",
        "url": "https://github.com/xiey1/Nucleus_detection"
      },
      {
        "title": "TheInfamousWayne/UNet",
        "url": "https://github.com/TheInfamousWayne/UNet"
      },
      {
        "title": "BenjiKCF/Superesolution-and-watermark-removal",
        "url": "https://github.com/BenjiKCF/Superesolution-and-watermark-removal"
      },
      {
        "title": "upc-postgrads/BrainScan",
        "url": "https://github.com/upc-postgrads/BrainScan"
      },
      {
        "title": "YourGc/Unet_jinnan2",
        "url": "https://github.com/YourGc/Unet_jinnan2"
      },
      {
        "title": "iibrahimli/unet_sem_seg",
        "url": "https://github.com/iibrahimli/unet_sem_seg"
      },
      {
        "title": "Hedgehogues/HoChiMinh",
        "url": "https://github.com/Hedgehogues/HoChiMinh"
      },
      {
        "title": "shenshutao/image_segmentation",
        "url": "https://github.com/shenshutao/image_segmentation"
      },
      {
        "title": "ArkaJU/U-Net-Satellite",
        "url": "https://github.com/ArkaJU/U-Net-Satellite"
      },
      {
        "title": "koriavinash1/Fetal-Brain-Segmentation",
        "url": "https://github.com/koriavinash1/Fetal-Brain-Segmentation"
      },
      {
        "title": "Muthu2093/U-Net-for-Brain-Tumor-Segmentation",
        "url": "https://github.com/Muthu2093/U-Net-for-Brain-Tumor-Segmentation"
      },
      {
        "title": "AICIP-UTK/spacenet-round3",
        "url": "https://github.com/AICIP-UTK/spacenet-round3"
      },
      {
        "title": "ChengBinJin/U-Net-TensorFlow",
        "url": "https://github.com/ChengBinJin/U-Net-TensorFlow"
      },
      {
        "title": "Lkruitwagen/remote-sensing-solar-pv",
        "url": "https://github.com/Lkruitwagen/remote-sensing-solar-pv"
      },
      {
        "title": "jtiger958/pytorch-computer-vision-basic",
        "url": "https://github.com/jtiger958/pytorch-computer-vision-basic"
      },
      {
        "title": "jqueguiner/camembert-as-a-service",
        "url": "https://github.com/jqueguiner/camembert-as-a-service"
      },
      {
        "title": "jtiger958/pytorch-computer-vision-tutorial",
        "url": "https://github.com/jtiger958/pytorch-computer-vision-tutorial"
      },
      {
        "title": "SixQuant/U-Net",
        "url": "https://github.com/SixQuant/U-Net"
      },
      {
        "title": "trichtu/ConvLSTM-RAU-net",
        "url": "https://github.com/trichtu/ConvLSTM-RAU-net"
      },
      {
        "title": "SeonbeomKim/TensorFlow-pix2pix",
        "url": "https://github.com/SeonbeomKim/TensorFlow-pix2pix"
      },
      {
        "title": "tsixta/jnet",
        "url": "https://github.com/tsixta/jnet"
      },
      {
        "title": "jiangzhubo/Unet_workshop",
        "url": "https://github.com/jiangzhubo/Unet_workshop"
      },
      {
        "title": "jqueguiner/image-segmentation",
        "url": "https://github.com/jqueguiner/image-segmentation"
      },
      {
        "title": "zampie/unet-colorization-pytorch",
        "url": "https://github.com/zampie/unet-colorization-pytorch"
      },
      {
        "title": "melissande/dhi-segmentation-buildings",
        "url": "https://github.com/melissande/dhi-segmentation-buildings"
      },
      {
        "title": "HadiZayer/UNet_pytorch",
        "url": "https://github.com/HadiZayer/UNet_pytorch"
      },
      {
        "title": "0xzayd/Wnet-cGAN",
        "url": "https://github.com/0xzayd/Wnet-cGAN"
      },
      {
        "title": "jiandai/mlTst",
        "url": "https://github.com/jiandai/mlTst"
      },
      {
        "title": "usnistgov/small-data-cnns",
        "url": "https://github.com/usnistgov/small-data-cnns"
      },
      {
        "title": "kaichoulyc/course_segmentation",
        "url": "https://github.com/kaichoulyc/course_segmentation"
      },
      {
        "title": "anant1203/Applying-Deep-Learning-for-Large-scale-Quantification-of-Urban-Tree-Cover",
        "url": "https://github.com/anant1203/Applying-Deep-Learning-for-Large-scale-Quantification-of-Urban-Tree-Cover"
      },
      {
        "title": "Hayashi-Yudai/ML_models",
        "url": "https://github.com/Hayashi-Yudai/ML_models"
      },
      {
        "title": "anoushkrit/Knowledge",
        "url": "https://github.com/anoushkrit/Knowledge"
      },
      {
        "title": "alexromano/nerve-segmentation",
        "url": "https://github.com/alexromano/nerve-segmentation"
      },
      {
        "title": "shirans/cv_course_project",
        "url": "https://github.com/shirans/cv_course_project"
      },
      {
        "title": "seungjunlee96/U-Net_Lung-Segmentation",
        "url": "https://github.com/seungjunlee96/U-Net_Lung-Segmentation"
      },
      {
        "title": "seungjunlee96/DeepLearning-for-Medical-Imaging",
        "url": "https://github.com/seungjunlee96/DeepLearning-for-Medical-Imaging"
      },
      {
        "title": "trichtu/Recurrent_Attention_U_net",
        "url": "https://github.com/trichtu/Recurrent_Attention_U_net"
      },
      {
        "title": "paraficial/vae_pancreas_segmentation",
        "url": "https://github.com/paraficial/vae_pancreas_segmentation"
      },
      {
        "title": "jovenwayfarer/pneumonia",
        "url": "https://github.com/jovenwayfarer/pneumonia"
      },
      {
        "title": "PatriciaRodrigues1994/Satellite-Image-Segmentation",
        "url": "https://github.com/PatriciaRodrigues1994/Satellite-Image-Segmentation"
      },
      {
        "title": "sinandeger/RedeemTheBoar",
        "url": "https://github.com/sinandeger/RedeemTheBoar"
      },
      {
        "title": "Brainkite/Sketch_Augmented",
        "url": "https://github.com/Brainkite/Sketch_Augmented"
      },
      {
        "title": "udacity/MLND-CN-Capstone-TGSImage",
        "url": "https://github.com/udacity/MLND-CN-Capstone-TGSImage"
      },
      {
        "title": "c1ph3rr/U-Net-Convolutional-Networks-For-Biomedicalimage-Segmentation",
        "url": "https://github.com/c1ph3rr/U-Net-Convolutional-Networks-For-Biomedicalimage-Segmentation"
      },
      {
        "title": "kcang2/Prune_U-Net",
        "url": "https://github.com/kcang2/Prune_U-Net"
      },
      {
        "title": "IlliaOvcharenko/lung-segmentation",
        "url": "https://github.com/IlliaOvcharenko/lung-segmentation"
      },
      {
        "title": "sadari1/TumorDetectionDeepLearning",
        "url": "https://github.com/sadari1/TumorDetectionDeepLearning"
      },
      {
        "title": "pricebenjamin/unet-estimator",
        "url": "https://github.com/pricebenjamin/unet-estimator"
      },
      {
        "title": "KevinHexin/unet_tensorflow",
        "url": "https://github.com/KevinHexin/unet_tensorflow"
      },
      {
        "title": "gmatasci/SemanticSegmentation",
        "url": "https://github.com/gmatasci/SemanticSegmentation"
      },
      {
        "title": "wlstyql/keras_with_mat_for_unet",
        "url": "https://github.com/wlstyql/keras_with_mat_for_unet"
      },
      {
        "title": "vamsi3/pix2pix",
        "url": "https://github.com/vamsi3/pix2pix"
      },
      {
        "title": "zhugoldman/CNN-segmentation-for-Lung-cancer-OARs",
        "url": "https://github.com/zhugoldman/CNN-segmentation-for-Lung-cancer-OARs"
      },
      {
        "title": "jkhadley/capstone-project",
        "url": "https://github.com/jkhadley/capstone-project"
      },
      {
        "title": "elias-ramzi/image_processing",
        "url": "https://github.com/elias-ramzi/image_processing"
      },
      {
        "title": "filippogiruzzi/semantic_segmentation",
        "url": "https://github.com/filippogiruzzi/semantic_segmentation"
      },
      {
        "title": "charlychiu/U-Net",
        "url": "https://github.com/charlychiu/U-Net"
      },
      {
        "title": "yumaloop/kaggle-tgs-salt-competition",
        "url": "https://github.com/yumaloop/kaggle-tgs-salt-competition"
      },
      {
        "title": "jakeret/unet",
        "url": "https://github.com/jakeret/unet"
      },
      {
        "title": "Barak123748596/CVDL_course_project",
        "url": "https://github.com/Barak123748596/CVDL_course_project"
      },
      {
        "title": "kilgore92/Probabalistic-U-Net",
        "url": "https://github.com/kilgore92/Probabalistic-U-Net"
      },
      {
        "title": "pmcgrath249/DeepCV_Lab",
        "url": "https://github.com/pmcgrath249/DeepCV_Lab"
      },
      {
        "title": "VideoUpScaler/Video_Up_Scalers",
        "url": "https://github.com/VideoUpScaler/Video_Up_Scalers"
      },
      {
        "title": "pvardanis/LevNet",
        "url": "https://github.com/pvardanis/LevNet"
      },
      {
        "title": "goyalyash1224/Nuclei-detection-and-segmentaion",
        "url": "https://github.com/goyalyash1224/Nuclei-detection-and-segmentaion"
      },
      {
        "title": "sremes/a2d2",
        "url": "https://github.com/sremes/a2d2"
      },
      {
        "title": "NicoleEic/Brainhack_Oxbridge",
        "url": "https://github.com/NicoleEic/Brainhack_Oxbridge"
      },
      {
        "title": "GeoDQ/Seismic-image-segmentation",
        "url": "https://github.com/GeoDQ/Seismic-image-segmentation"
      },
      {
        "title": "mariosfourn/ScienceBowl",
        "url": "https://github.com/mariosfourn/ScienceBowl"
      },
      {
        "title": "pmcgrath249/DeepCVLab",
        "url": "https://github.com/pmcgrath249/DeepCVLab"
      },
      {
        "title": "clarencenhuang/dl-colorize",
        "url": "https://github.com/clarencenhuang/dl-colorize"
      },
      {
        "title": "mitmedialab/unet4birds",
        "url": "https://github.com/mitmedialab/unet4birds"
      },
      {
        "title": "resonance20/segmenter",
        "url": "https://github.com/resonance20/segmenter"
      },
      {
        "title": "kritanu82/healthif.ai",
        "url": "https://github.com/kritanu82/healthif.ai"
      },
      {
        "title": "ruixif/Unet_keras",
        "url": "https://github.com/ruixif/Unet_keras"
      },
      {
        "title": "massucattoj/unet-model",
        "url": "https://github.com/massucattoj/unet-model"
      },
      {
        "title": "kamruleee51/Understanding-of-semantic-segmentation-using-CNN",
        "url": "https://github.com/kamruleee51/Understanding-of-semantic-segmentation-using-CNN"
      },
      {
        "title": "kamruleee51/Recommendation-for-understanding-of-semantic-segmentation-using-CNN",
        "url": "https://github.com/kamruleee51/Recommendation-for-understanding-of-semantic-segmentation-using-CNN"
      },
      {
        "title": "aksub99/U-Net-Pytorch",
        "url": "https://github.com/aksub99/U-Net-Pytorch"
      },
      {
        "title": "rickyHong/UNet-segmentation-pytorch-repl",
        "url": "https://github.com/rickyHong/UNet-segmentation-pytorch-repl"
      },
      {
        "title": "vmjersey/eidetic_ml",
        "url": "https://github.com/vmjersey/eidetic_ml"
      },
      {
        "title": "neshitov/UNet",
        "url": "https://github.com/neshitov/UNet"
      },
      {
        "title": "konny0311/unet_segmentation",
        "url": "https://github.com/konny0311/unet_segmentation"
      },
      {
        "title": "Hayden2018/Road-Segmentation",
        "url": "https://github.com/Hayden2018/Road-Segmentation"
      },
      {
        "title": "Jeongseungwoo/U_net",
        "url": "https://github.com/Jeongseungwoo/U_net"
      },
      {
        "title": "shermanhung/U-Net",
        "url": "https://github.com/shermanhung/U-Net"
      },
      {
        "title": "XiaowenK/UNet-for-Nodule-Detection-xray",
        "url": "https://github.com/XiaowenK/UNet-for-Nodule-Detection-xray"
      },
      {
        "title": "ahedayat/U-Net",
        "url": "https://github.com/ahedayat/U-Net"
      },
      {
        "title": "napolar/simple_unet",
        "url": "https://github.com/napolar/simple_unet"
      },
      {
        "title": "YosukeHoshi/surveyed_paper",
        "url": "https://github.com/YosukeHoshi/surveyed_paper"
      },
      {
        "title": "clemkoa/u-net",
        "url": "https://github.com/clemkoa/u-net"
      },
      {
        "title": "ShaShekhar/Semantic_Segmentation",
        "url": "https://github.com/ShaShekhar/Semantic_Segmentation"
      },
      {
        "title": "usnistgov/semantic-segmentation-unet",
        "url": "https://github.com/usnistgov/semantic-segmentation-unet"
      },
      {
        "title": "sigtot/unet-auto",
        "url": "https://github.com/sigtot/unet-auto"
      },
      {
        "title": "oliverz17/Unet_Keras",
        "url": "https://github.com/oliverz17/Unet_Keras"
      },
      {
        "title": "DarkGeekMS/Semantic_Segmentation_Models_Keras",
        "url": "https://github.com/DarkGeekMS/Semantic_Segmentation_Models_Keras"
      },
      {
        "title": "shih61/deep-learnging-3d-object-dectation",
        "url": "https://github.com/shih61/deep-learnging-3d-object-dectation"
      },
      {
        "title": "muramasa8191/DeepLearning",
        "url": "https://github.com/muramasa8191/DeepLearning"
      },
      {
        "title": "kaland313/vitmav45-ShipSeakers",
        "url": "https://github.com/kaland313/vitmav45-ShipSeakers"
      },
      {
        "title": "jellevankerk/Team-Challenge",
        "url": "https://github.com/jellevankerk/Team-Challenge"
      },
      {
        "title": "deepanshgoyal33/Papers",
        "url": "https://github.com/deepanshgoyal33/Papers"
      },
      {
        "title": "noornk/U-Net",
        "url": "https://github.com/noornk/U-Net"
      },
      {
        "title": "Linxuxin/Pytorch-UNet-mine",
        "url": "https://github.com/Linxuxin/Pytorch-UNet-mine"
      },
      {
        "title": "Shumway82/U-Net-Segmentation",
        "url": "https://github.com/Shumway82/U-Net-Segmentation"
      },
      {
        "title": "kwcckw/unet_magnetic_tiles_defects",
        "url": "https://github.com/kwcckw/unet_magnetic_tiles_defects"
      },
      {
        "title": "JHLee0513/Salt_detection_challenge",
        "url": "https://github.com/JHLee0513/Salt_detection_challenge"
      },
      {
        "title": "rahul13ramesh/cloud_understanding",
        "url": "https://github.com/rahul13ramesh/cloud_understanding"
      },
      {
        "title": "dhiraa/sanjeevani",
        "url": "https://github.com/dhiraa/sanjeevani"
      },
      {
        "title": "yassineAlouini/data-science-bowl-2018",
        "url": "https://github.com/yassineAlouini/data-science-bowl-2018"
      },
      {
        "title": "ethanhou99/ml_learn",
        "url": "https://github.com/ethanhou99/ml_learn"
      },
      {
        "title": "TanyaChutani/U-Net",
        "url": "https://github.com/TanyaChutani/U-Net"
      },
      {
        "title": "shivamkhare95/Unet_graph",
        "url": "https://github.com/shivamkhare95/Unet_graph"
      },
      {
        "title": "gundeep15/SCD_AI_Project",
        "url": "https://github.com/gundeep15/SCD_AI_Project"
      },
      {
        "title": "SK124/Semantic-Segmentaion-Using-UNets",
        "url": "https://github.com/SK124/Semantic-Segmentaion-Using-UNets"
      },
      {
        "title": "ajjdan/KaI",
        "url": "https://github.com/ajjdan/KaI"
      },
      {
        "title": "TristansCloud/YellowstonesVegitiation",
        "url": "https://github.com/TristansCloud/YellowstonesVegitiation"
      },
      {
        "title": "oliverquintana/UnetSegmentation",
        "url": "https://github.com/oliverquintana/UnetSegmentation"
      },
      {
        "title": "biss/unet",
        "url": "https://github.com/biss/unet"
      }
    ],
    "date": "2015-05-18",
    "date2": 20150518,
    "model": "U-Net",
    "paper": {
      "title": "U-Net: Convolutional Networks for Biomedical Image Segmentation",
      "url": "https://cknow.io/lib/97a74560b8a3e8a2"
    },
    "paper_data_uoa": "97a74560b8a3e8a2"
  }
]