[
  {
    "Mean IoU": 32.08,
    "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-LargeFOV",
    "paper": {
      "title": "Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs",
      "url": "https://cknow.io/lib/974f0dbe4b927ae5"
    },
    "paper_data_uoa": "974f0dbe4b927ae5"
  },
  {
    "Mean IoU": 31.84,
    "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": 27.39,
    "code_links": [
      {
        "title": "pytorch/vision",
        "url": "https://github.com/pytorch/vision"
      },
      {
        "title": "shelhamer/fcn.berkeleyvision.org",
        "url": "https://github.com/shelhamer/fcn.berkeleyvision.org"
      },
      {
        "title": "osmr/imgclsmob",
        "url": "https://github.com/osmr/imgclsmob"
      },
      {
        "title": "shekkizh/FCN.tensorflow",
        "url": "https://github.com/shekkizh/FCN.tensorflow"
      },
      {
        "title": "sagieppel/Fully-convolutional-neural-network-FCN-for-semantic-segmentation-Tensorflow-implementation",
        "url": "https://github.com/sagieppel/Fully-convolutional-neural-network-FCN-for-semantic-segmentation-Tensorflow-implementation"
      },
      {
        "title": "waspinator/deep-learning-explorer",
        "url": "https://github.com/waspinator/deep-learning-explorer"
      },
      {
        "title": "sagieppel/Focusing-attention-of-Fully-convolutional-neural-networks-on-Region-of-interest-ROI-input-map-",
        "url": "https://github.com/sagieppel/Focusing-attention-of-Fully-convolutional-neural-networks-on-Region-of-interest-ROI-input-map-"
      },
      {
        "title": "fmahoudeau/fcn",
        "url": "https://github.com/fmahoudeau/fcn"
      },
      {
        "title": "petko-nikolov/pysemseg",
        "url": "https://github.com/petko-nikolov/pysemseg"
      },
      {
        "title": "xiexiexiaoxiexie/Udacity-self-driving-engineer-P2-Advanced-Lane-Finding",
        "url": "https://github.com/xiexiexiaoxiexie/Udacity-self-driving-engineer-P2-Advanced-Lane-Finding"
      },
      {
        "title": "Ceachi/Project-Self-Driving-Car-Advanced-Lane-Lines",
        "url": "https://github.com/Ceachi/Project-Self-Driving-Car-Advanced-Lane-Lines"
      },
      {
        "title": "cooparation/FCN_play",
        "url": "https://github.com/cooparation/FCN_play"
      },
      {
        "title": "cciprianmihai/Self_Driving_Car_NanoDegree_P2_AdvancedLaneLines",
        "url": "https://github.com/cciprianmihai/Self_Driving_Car_NanoDegree_P2_AdvancedLaneLines"
      },
      {
        "title": "Lxrd-AJ/Advanced_ML",
        "url": "https://github.com/Lxrd-AJ/Advanced_ML"
      },
      {
        "title": "DaiLisen/Eye-gaze-Point-Detection-Modified-sec-",
        "url": "https://github.com/DaiLisen/Eye-gaze-Point-Detection-Modified-sec-"
      },
      {
        "title": "rickyHong/FCN-segmentation-repl",
        "url": "https://github.com/rickyHong/FCN-segmentation-repl"
      },
      {
        "title": "applecv3/FCN",
        "url": "https://github.com/applecv3/FCN"
      },
      {
        "title": "hgjeon/CarND-Semantic-Segmentation",
        "url": "https://github.com/hgjeon/CarND-Semantic-Segmentation"
      },
      {
        "title": "geodekid/FCN",
        "url": "https://github.com/geodekid/FCN"
      },
      {
        "title": "linxi159/FCN-caffe",
        "url": "https://github.com/linxi159/FCN-caffe"
      },
      {
        "title": "yeLer/fcn",
        "url": "https://github.com/yeLer/fcn"
      },
      {
        "title": "aolsenjazz/tf-fcn",
        "url": "https://github.com/aolsenjazz/tf-fcn"
      }
    ],
    "date": "2016-05-20",
    "date2": 20160520,
    "model": "FCN",
    "paper": {
      "title": "Fully Convolutional Networks for Semantic Segmentation",
      "url": "https://cknow.io/lib/d657944208000a35"
    },
    "paper_data_uoa": "d657944208000a35"
  }
]