[
  {
    "Mean IoU": 81.7,
    "code_links": [
      {
        "title": "NVIDIA/semantic-segmentation",
        "url": "https://github.com/NVIDIA/semantic-segmentation"
      }
    ],
    "date": "2018-12-04",
    "date2": 20181204,
    "model": "DeepLabV3Plus + SDCNetAug",
    "paper": {
      "title": "Improving Semantic Segmentation via Video Propagation and Label Relaxation",
      "url": "https://cknow.io/lib/d18292324b9cbac0"
    },
    "paper_data_uoa": "d18292324b9cbac0"
  },
  {
    "Mean IoU": 78.47,
    "code_links": [
      {
        "title": "leoxiaobin/deep-high-resolution-net.pytorch",
        "url": "https://github.com/leoxiaobin/deep-high-resolution-net.pytorch"
      },
      {
        "title": "HRNet/HRNet-Semantic-Segmentation",
        "url": "https://github.com/HRNet/HRNet-Semantic-Segmentation"
      },
      {
        "title": "HRNet/HRNet-Object-Detection",
        "url": "https://github.com/HRNet/HRNet-Object-Detection"
      },
      {
        "title": "HRNet/HRNet-Image-Classification",
        "url": "https://github.com/HRNet/HRNet-Image-Classification"
      },
      {
        "title": "HRNet/HRNet-Facial-Landmark-Detection",
        "url": "https://github.com/HRNet/HRNet-Facial-Landmark-Detection"
      },
      {
        "title": "HRNet/HRNet-MaskRCNN-Benchmark",
        "url": "https://github.com/HRNet/HRNet-MaskRCNN-Benchmark"
      }
    ],
    "date": "2019-08-20",
    "date2": 20190820,
    "model": "HRNetV2 (HRNetV2-W48)",
    "paper": {
      "title": "Deep High-Resolution Representation Learning for Visual Recognition",
      "url": "https://cknow.io/lib/a907f44d2b3b200a"
    },
    "paper_data_uoa": "a907f44d2b3b200a"
  },
  {
    "Mean IoU": 69.1,
    "code_links": [
      {
        "title": "tensorflow/models",
        "url": "https://github.com/tensorflow/models/tree/master/research/deeplab"
      },
      {
        "title": "CSAILVision/semantic-segmentation-pytorch",
        "url": "https://github.com/CSAILVision/semantic-segmentation-pytorch"
      },
      {
        "title": "qubvel/segmentation_models",
        "url": "https://github.com/qubvel/segmentation_models"
      },
      {
        "title": "divamgupta/image-segmentation-keras",
        "url": "https://github.com/divamgupta/image-segmentation-keras"
      },
      {
        "title": "osmr/imgclsmob",
        "url": "https://github.com/osmr/imgclsmob"
      },
      {
        "title": "hszhao/PSPNet",
        "url": "https://github.com/hszhao/PSPNet"
      },
      {
        "title": "warmspringwinds/pytorch-segmentation-detection",
        "url": "https://github.com/warmspringwinds/pytorch-segmentation-detection"
      },
      {
        "title": "y-ouali/pytorch_segmentation",
        "url": "https://github.com/y-ouali/pytorch_segmentation"
      },
      {
        "title": "PRBonn/bonnet",
        "url": "https://github.com/PRBonn/bonnet"
      },
      {
        "title": "manideep2510/eye-in-the-sky",
        "url": "https://github.com/manideep2510/eye-in-the-sky"
      },
      {
        "title": "switchablenorms/SwitchNorm_Segmentation",
        "url": "https://github.com/switchablenorms/SwitchNorm_Segmentation"
      },
      {
        "title": "kazuto1011/pspnet-pytorch",
        "url": "https://github.com/kazuto1011/pspnet-pytorch"
      },
      {
        "title": "BOBrown/deeparsing-master",
        "url": "https://github.com/BOBrown/deeparsing-master"
      },
      {
        "title": "jqueguiner/camembert-as-a-service",
        "url": "https://github.com/jqueguiner/camembert-as-a-service"
      },
      {
        "title": "jqueguiner/image-segmentation",
        "url": "https://github.com/jqueguiner/image-segmentation"
      },
      {
        "title": "kukby/Mish-semantic-segmentation-pytorch",
        "url": "https://github.com/kukby/Mish-semantic-segmentation-pytorch"
      },
      {
        "title": "udacity/MLND-CN-Capstone-TGSImage",
        "url": "https://github.com/udacity/MLND-CN-Capstone-TGSImage"
      },
      {
        "title": "leemathew1998/RG",
        "url": "https://github.com/leemathew1998/RG"
      },
      {
        "title": "RituYadav92/Image-segmentation",
        "url": "https://github.com/RituYadav92/Image-segmentation"
      },
      {
        "title": "monsieurmona/LinkCollectionAutonomousDriving",
        "url": "https://github.com/monsieurmona/LinkCollectionAutonomousDriving"
      },
      {
        "title": "leemathew1998/GradientWeight",
        "url": "https://github.com/leemathew1998/GradientWeight"
      },
      {
        "title": "RRoundTable/U_net",
        "url": "https://github.com/RRoundTable/U_net"
      },
      {
        "title": "Lxrd-AJ/Advanced_ML",
        "url": "https://github.com/Lxrd-AJ/Advanced_ML"
      }
    ],
    "date": "2016-12-04",
    "date2": 20161204,
    "model": "PSPNet",
    "paper": {
      "title": "Pyramid Scene Parsing Network",
      "url": "https://cknow.io/lib/59c987cd01bc78f7"
    },
    "paper_data_uoa": "59c987cd01bc78f7"
  },
  {
    "Mean IoU": 68.7,
    "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",
    "paper": {
      "title": "BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation",
      "url": "https://cknow.io/lib/7f0020f42ac91801"
    },
    "paper_data_uoa": "7f0020f42ac91801"
  },
  {
    "Global Accuracy": 91.5,
    "Mean IoU": 66.9,
    "code_links": [
      {
        "title": "SimJeg/FC-DenseNet",
        "url": "https://github.com/SimJeg/FC-DenseNet"
      },
      {
        "title": "0bserver07/One-Hundred-Layers-Tiramisu",
        "url": "https://github.com/0bserver07/One-Hundred-Layers-Tiramisu"
      },
      {
        "title": "Kaido0/Brain-Tissue-Segment-Keras",
        "url": "https://github.com/Kaido0/Brain-Tissue-Segment-Keras"
      },
      {
        "title": "petko-nikolov/pysemseg",
        "url": "https://github.com/petko-nikolov/pysemseg"
      },
      {
        "title": "asprenger/keras_fc_densenet",
        "url": "https://github.com/asprenger/keras_fc_densenet"
      },
      {
        "title": "smdYe/FC-DenseNet-Keras",
        "url": "https://github.com/smdYe/FC-DenseNet-Keras"
      },
      {
        "title": "pattyhendrix/CamVid-95-accuracy",
        "url": "https://github.com/pattyhendrix/CamVid-95-accuracy"
      },
      {
        "title": "demul/image_segmentation_project",
        "url": "https://github.com/demul/image_segmentation_project"
      },
      {
        "title": "Septembit/Image-segmentation",
        "url": "https://github.com/Septembit/Image-segmentation"
      },
      {
        "title": "noornk/U-Net",
        "url": "https://github.com/noornk/U-Net"
      },
      {
        "title": "koryako/AI-application",
        "url": "https://github.com/koryako/AI-application"
      },
      {
        "title": "ankit-vaghela30/Cilia-Segmentation",
        "url": "https://github.com/ankit-vaghela30/Cilia-Segmentation"
      }
    ],
    "date": "2016-11-28",
    "date2": 20161128,
    "model": "FC-DenseNet103",
    "paper": {
      "title": "The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation",
      "url": "https://cknow.io/lib/85e3ce417c89d4db"
    },
    "paper_data_uoa": "85e3ce417c89d4db"
  },
  {
    "Mean IoU": 65.3,
    "code_links": [
      {
        "title": "fyu/dilation",
        "url": "https://github.com/fyu/dilation"
      },
      {
        "title": "vlievin/Unet",
        "url": "https://github.com/vlievin/Unet"
      },
      {
        "title": "Wanger-SJTU/FCN-in-the-wild",
        "url": "https://github.com/Wanger-SJTU/FCN-in-the-wild"
      },
      {
        "title": "lpzjerry/Pedestrian-Attribute-LGNet",
        "url": "https://github.com/lpzjerry/Pedestrian-Attribute-LGNet"
      },
      {
        "title": "keillernogueira/FDSI",
        "url": "https://github.com/keillernogueira/FDSI"
      },
      {
        "title": "Entodi/meshnet-pytorch",
        "url": "https://github.com/Entodi/meshnet-pytorch"
      },
      {
        "title": "srihari-humbarwadi/Multi-Scale-Context-Aggregation-by-Dilated-Convolutions",
        "url": "https://github.com/srihari-humbarwadi/Multi-Scale-Context-Aggregation-by-Dilated-Convolutions"
      },
      {
        "title": "Rakeshpavan333/oct_dil",
        "url": "https://github.com/Rakeshpavan333/oct_dil"
      },
      {
        "title": "harshmaru7/DilatedConv",
        "url": "https://github.com/harshmaru7/DilatedConv"
      }
    ],
    "date": "2015-11-23",
    "date2": 20151123,
    "model": "Dilated Convolutions",
    "paper": {
      "title": "Multi-Scale Context Aggregation by Dilated Convolutions",
      "url": "https://cknow.io/lib/eab0185455d90cf6"
    },
    "paper_data_uoa": "eab0185455d90cf6"
  },
  {
    "Mean IoU": 61.6,
    "code_links": [
      {
        "title": "tensorflow/models",
        "url": "https://github.com/tensorflow/models/tree/master/research/deeplab"
      },
      {
        "title": "DeepMotionAIResearch/DenseASPP",
        "url": "https://github.com/DeepMotionAIResearch/DenseASPP"
      },
      {
        "title": "arahusky/Tensorflow-Segmentation",
        "url": "https://github.com/arahusky/Tensorflow-Segmentation"
      },
      {
        "title": "nightrome/cocostuff10k",
        "url": "https://github.com/nightrome/cocostuff10k"
      },
      {
        "title": "TheLegendAli/DeepLab-Context",
        "url": "https://github.com/TheLegendAli/DeepLab-Context"
      },
      {
        "title": "BardOfCodes/pytorch_deeplab_large_fov",
        "url": "https://github.com/BardOfCodes/pytorch_deeplab_large_fov"
      },
      {
        "title": "wangleihitcs/DeepLab-V1-PyTorch",
        "url": "https://github.com/wangleihitcs/DeepLab-V1-PyTorch"
      },
      {
        "title": "open-cv/deeplab-v1",
        "url": "https://github.com/open-cv/deeplab-v1"
      }
    ],
    "date": "2014-12-22",
    "date2": 20141222,
    "model": "DeepLab-MSc-CRF-LargeFOV",
    "paper": {
      "title": "Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs",
      "url": "https://cknow.io/lib/974f0dbe4b927ae5"
    },
    "paper_data_uoa": "974f0dbe4b927ae5"
  },
  {
    "Global Accuracy": 88.7,
    "Mean IoU": 58.8,
    "code_links": [
      {
        "title": "fvisin/reseg",
        "url": "https://github.com/fvisin/reseg"
      },
      {
        "title": "SConsul/ReSeg",
        "url": "https://github.com/SConsul/ReSeg"
      }
    ],
    "date": "2015-11-22",
    "date2": 20151122,
    "model": "ReSeg",
    "paper": {
      "title": "ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation",
      "url": "https://cknow.io/lib/52f69344979c41b8"
    },
    "paper_data_uoa": "52f69344979c41b8"
  },
  {
    "Mean IoU": 46.4,
    "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"
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]