[
  {
    "Rank-1": 89.4,
    "Rank-5": 96.8,
    "mAP": 83.1,
    "code_links": [
      {
        "title": "aimagelab/VKD",
        "url": "https://github.com/aimagelab/VKD"
      }
    ],
    "date": "2020-07-08",
    "date2": 20200708,
    "model": "VKD (ResVKD-50bam)",
    "paper": {
      "title": "Robust Re-Identification by Multiple Views Knowledge Distillation",
      "url": "https://cknow.io/lib/603c681040314beb"
    },
    "paper_data_uoa": "603c681040314beb"
  },
  {
    "Rank-1": 81.21,
    "Rank-5": 90.76,
    "mAP": 77.43,
    "code_links": [
      {
        "title": "VisualComputingInstitute/triplet-reid",
        "url": "https://github.com/VisualComputingInstitute/triplet-reid"
      },
      {
        "title": "huanghoujing/AlignedReID-Re-Production-Pytorch",
        "url": "https://github.com/huanghoujing/AlignedReID-Re-Production-Pytorch"
      },
      {
        "title": "huanghoujing/person-reid-triplet-loss-baseline",
        "url": "https://github.com/huanghoujing/person-reid-triplet-loss-baseline"
      },
      {
        "title": "lyakaap/NetVLAD-pytorch",
        "url": "https://github.com/lyakaap/NetVLAD-pytorch"
      },
      {
        "title": "tbmoon/facenet",
        "url": "https://github.com/tbmoon/facenet"
      },
      {
        "title": "AdrianUng/keras-triplet-loss-mnist",
        "url": "https://github.com/AdrianUng/keras-triplet-loss-mnist"
      },
      {
        "title": "kilsenp/triplet-reid-pytorch",
        "url": "https://github.com/kilsenp/triplet-reid-pytorch"
      },
      {
        "title": "zhengziqiang/ReshapeGAN",
        "url": "https://github.com/zhengziqiang/ReshapeGAN"
      },
      {
        "title": "cftang0827/human_recognition",
        "url": "https://github.com/cftang0827/human_recognition"
      },
      {
        "title": "cftang0827/pedestrian_recognition",
        "url": "https://github.com/cftang0827/pedestrian_recognition"
      },
      {
        "title": "IcewineChen/mxnet-batch_hard_triplet_loss",
        "url": "https://github.com/IcewineChen/mxnet-batch_hard_triplet_loss"
      },
      {
        "title": "keetsky/Net_ghostVLAD-pytorch",
        "url": "https://github.com/keetsky/Net_ghostVLAD-pytorch"
      },
      {
        "title": "h4veFunCodin9/Aligned_ReID",
        "url": "https://github.com/h4veFunCodin9/Aligned_ReID"
      },
      {
        "title": "khrlimam/facenet",
        "url": "https://github.com/khrlimam/facenet"
      },
      {
        "title": "shubhamtyagii/Aligned_Reid",
        "url": "https://github.com/shubhamtyagii/Aligned_Reid"
      },
      {
        "title": "BarbaAlGhul/recommender-system-thesis",
        "url": "https://github.com/BarbaAlGhul/recommender-system-thesis"
      },
      {
        "title": "AsuradaYuci/tripletreid-zhushi",
        "url": "https://github.com/AsuradaYuci/tripletreid-zhushi"
      },
      {
        "title": "immuno121/audio_source_classification",
        "url": "https://github.com/immuno121/audio_source_classification"
      },
      {
        "title": "agongt408/vbranch",
        "url": "https://github.com/agongt408/vbranch"
      },
      {
        "title": "abhishirk/Aligned_ReId",
        "url": "https://github.com/abhishirk/Aligned_ReId"
      },
      {
        "title": "infinitylogesh/Kaggle-Quora-Incincere-question-classification",
        "url": "https://github.com/infinitylogesh/Kaggle-Quora-Incincere-question-classification"
      },
      {
        "title": "thomas-liao/diva_tracking_reid",
        "url": "https://github.com/thomas-liao/diva_tracking_reid"
      }
    ],
    "date": "2017-03-22",
    "date2": 20170322,
    "model": "TriNet (RK)",
    "paper": {
      "title": "In Defense of the Triplet Loss for Person Re-Identification",
      "url": "https://cknow.io/lib/ff1fd891d54dd9a2"
    },
    "paper_data_uoa": "ff1fd891d54dd9a2"
  },
  {
    "Rank-1": 78.48,
    "Rank-5": 88.74,
    "mAP": 73.68,
    "code_links": [
      {
        "title": "VisualComputingInstitute/triplet-reid",
        "url": "https://github.com/VisualComputingInstitute/triplet-reid"
      },
      {
        "title": "huanghoujing/AlignedReID-Re-Production-Pytorch",
        "url": "https://github.com/huanghoujing/AlignedReID-Re-Production-Pytorch"
      },
      {
        "title": "huanghoujing/person-reid-triplet-loss-baseline",
        "url": "https://github.com/huanghoujing/person-reid-triplet-loss-baseline"
      },
      {
        "title": "lyakaap/NetVLAD-pytorch",
        "url": "https://github.com/lyakaap/NetVLAD-pytorch"
      },
      {
        "title": "tbmoon/facenet",
        "url": "https://github.com/tbmoon/facenet"
      },
      {
        "title": "AdrianUng/keras-triplet-loss-mnist",
        "url": "https://github.com/AdrianUng/keras-triplet-loss-mnist"
      },
      {
        "title": "kilsenp/triplet-reid-pytorch",
        "url": "https://github.com/kilsenp/triplet-reid-pytorch"
      },
      {
        "title": "zhengziqiang/ReshapeGAN",
        "url": "https://github.com/zhengziqiang/ReshapeGAN"
      },
      {
        "title": "cftang0827/human_recognition",
        "url": "https://github.com/cftang0827/human_recognition"
      },
      {
        "title": "cftang0827/pedestrian_recognition",
        "url": "https://github.com/cftang0827/pedestrian_recognition"
      },
      {
        "title": "IcewineChen/mxnet-batch_hard_triplet_loss",
        "url": "https://github.com/IcewineChen/mxnet-batch_hard_triplet_loss"
      },
      {
        "title": "keetsky/Net_ghostVLAD-pytorch",
        "url": "https://github.com/keetsky/Net_ghostVLAD-pytorch"
      },
      {
        "title": "h4veFunCodin9/Aligned_ReID",
        "url": "https://github.com/h4veFunCodin9/Aligned_ReID"
      },
      {
        "title": "khrlimam/facenet",
        "url": "https://github.com/khrlimam/facenet"
      },
      {
        "title": "shubhamtyagii/Aligned_Reid",
        "url": "https://github.com/shubhamtyagii/Aligned_Reid"
      },
      {
        "title": "BarbaAlGhul/recommender-system-thesis",
        "url": "https://github.com/BarbaAlGhul/recommender-system-thesis"
      },
      {
        "title": "AsuradaYuci/tripletreid-zhushi",
        "url": "https://github.com/AsuradaYuci/tripletreid-zhushi"
      },
      {
        "title": "immuno121/audio_source_classification",
        "url": "https://github.com/immuno121/audio_source_classification"
      },
      {
        "title": "agongt408/vbranch",
        "url": "https://github.com/agongt408/vbranch"
      },
      {
        "title": "abhishirk/Aligned_ReId",
        "url": "https://github.com/abhishirk/Aligned_ReId"
      },
      {
        "title": "infinitylogesh/Kaggle-Quora-Incincere-question-classification",
        "url": "https://github.com/infinitylogesh/Kaggle-Quora-Incincere-question-classification"
      },
      {
        "title": "thomas-liao/diva_tracking_reid",
        "url": "https://github.com/thomas-liao/diva_tracking_reid"
      }
    ],
    "date": "2017-03-22",
    "date2": 20170322,
    "model": "LuNet (RK)",
    "paper": {
      "title": "In Defense of the Triplet Loss for Person Re-Identification",
      "url": "https://cknow.io/lib/ff1fd891d54dd9a2"
    },
    "paper_data_uoa": "ff1fd891d54dd9a2"
  },
  {
    "Rank-1": 79.8,
    "Rank-5": 91.36,
    "mAP": 67.7,
    "code_links": [
      {
        "title": "VisualComputingInstitute/triplet-reid",
        "url": "https://github.com/VisualComputingInstitute/triplet-reid"
      },
      {
        "title": "huanghoujing/AlignedReID-Re-Production-Pytorch",
        "url": "https://github.com/huanghoujing/AlignedReID-Re-Production-Pytorch"
      },
      {
        "title": "huanghoujing/person-reid-triplet-loss-baseline",
        "url": "https://github.com/huanghoujing/person-reid-triplet-loss-baseline"
      },
      {
        "title": "lyakaap/NetVLAD-pytorch",
        "url": "https://github.com/lyakaap/NetVLAD-pytorch"
      },
      {
        "title": "tbmoon/facenet",
        "url": "https://github.com/tbmoon/facenet"
      },
      {
        "title": "AdrianUng/keras-triplet-loss-mnist",
        "url": "https://github.com/AdrianUng/keras-triplet-loss-mnist"
      },
      {
        "title": "kilsenp/triplet-reid-pytorch",
        "url": "https://github.com/kilsenp/triplet-reid-pytorch"
      },
      {
        "title": "zhengziqiang/ReshapeGAN",
        "url": "https://github.com/zhengziqiang/ReshapeGAN"
      },
      {
        "title": "cftang0827/human_recognition",
        "url": "https://github.com/cftang0827/human_recognition"
      },
      {
        "title": "cftang0827/pedestrian_recognition",
        "url": "https://github.com/cftang0827/pedestrian_recognition"
      },
      {
        "title": "IcewineChen/mxnet-batch_hard_triplet_loss",
        "url": "https://github.com/IcewineChen/mxnet-batch_hard_triplet_loss"
      },
      {
        "title": "keetsky/Net_ghostVLAD-pytorch",
        "url": "https://github.com/keetsky/Net_ghostVLAD-pytorch"
      },
      {
        "title": "h4veFunCodin9/Aligned_ReID",
        "url": "https://github.com/h4veFunCodin9/Aligned_ReID"
      },
      {
        "title": "khrlimam/facenet",
        "url": "https://github.com/khrlimam/facenet"
      },
      {
        "title": "shubhamtyagii/Aligned_Reid",
        "url": "https://github.com/shubhamtyagii/Aligned_Reid"
      },
      {
        "title": "BarbaAlGhul/recommender-system-thesis",
        "url": "https://github.com/BarbaAlGhul/recommender-system-thesis"
      },
      {
        "title": "AsuradaYuci/tripletreid-zhushi",
        "url": "https://github.com/AsuradaYuci/tripletreid-zhushi"
      },
      {
        "title": "immuno121/audio_source_classification",
        "url": "https://github.com/immuno121/audio_source_classification"
      },
      {
        "title": "agongt408/vbranch",
        "url": "https://github.com/agongt408/vbranch"
      },
      {
        "title": "abhishirk/Aligned_ReId",
        "url": "https://github.com/abhishirk/Aligned_ReId"
      },
      {
        "title": "infinitylogesh/Kaggle-Quora-Incincere-question-classification",
        "url": "https://github.com/infinitylogesh/Kaggle-Quora-Incincere-question-classification"
      },
      {
        "title": "thomas-liao/diva_tracking_reid",
        "url": "https://github.com/thomas-liao/diva_tracking_reid"
      }
    ],
    "date": "2017-03-22",
    "date2": 20170322,
    "model": "TriNet",
    "paper": {
      "title": "In Defense of the Triplet Loss for Person Re-Identification",
      "url": "https://cknow.io/lib/ff1fd891d54dd9a2"
    },
    "paper_data_uoa": "ff1fd891d54dd9a2"
  },
  {
    "Rank-1": 75.56,
    "Rank-5": 89.7,
    "mAP": 60.48,
    "code_links": [
      {
        "title": "VisualComputingInstitute/triplet-reid",
        "url": "https://github.com/VisualComputingInstitute/triplet-reid"
      },
      {
        "title": "huanghoujing/AlignedReID-Re-Production-Pytorch",
        "url": "https://github.com/huanghoujing/AlignedReID-Re-Production-Pytorch"
      },
      {
        "title": "huanghoujing/person-reid-triplet-loss-baseline",
        "url": "https://github.com/huanghoujing/person-reid-triplet-loss-baseline"
      },
      {
        "title": "lyakaap/NetVLAD-pytorch",
        "url": "https://github.com/lyakaap/NetVLAD-pytorch"
      },
      {
        "title": "tbmoon/facenet",
        "url": "https://github.com/tbmoon/facenet"
      },
      {
        "title": "AdrianUng/keras-triplet-loss-mnist",
        "url": "https://github.com/AdrianUng/keras-triplet-loss-mnist"
      },
      {
        "title": "kilsenp/triplet-reid-pytorch",
        "url": "https://github.com/kilsenp/triplet-reid-pytorch"
      },
      {
        "title": "zhengziqiang/ReshapeGAN",
        "url": "https://github.com/zhengziqiang/ReshapeGAN"
      },
      {
        "title": "cftang0827/human_recognition",
        "url": "https://github.com/cftang0827/human_recognition"
      },
      {
        "title": "cftang0827/pedestrian_recognition",
        "url": "https://github.com/cftang0827/pedestrian_recognition"
      },
      {
        "title": "IcewineChen/mxnet-batch_hard_triplet_loss",
        "url": "https://github.com/IcewineChen/mxnet-batch_hard_triplet_loss"
      },
      {
        "title": "keetsky/Net_ghostVLAD-pytorch",
        "url": "https://github.com/keetsky/Net_ghostVLAD-pytorch"
      },
      {
        "title": "h4veFunCodin9/Aligned_ReID",
        "url": "https://github.com/h4veFunCodin9/Aligned_ReID"
      },
      {
        "title": "khrlimam/facenet",
        "url": "https://github.com/khrlimam/facenet"
      },
      {
        "title": "shubhamtyagii/Aligned_Reid",
        "url": "https://github.com/shubhamtyagii/Aligned_Reid"
      },
      {
        "title": "BarbaAlGhul/recommender-system-thesis",
        "url": "https://github.com/BarbaAlGhul/recommender-system-thesis"
      },
      {
        "title": "AsuradaYuci/tripletreid-zhushi",
        "url": "https://github.com/AsuradaYuci/tripletreid-zhushi"
      },
      {
        "title": "immuno121/audio_source_classification",
        "url": "https://github.com/immuno121/audio_source_classification"
      },
      {
        "title": "agongt408/vbranch",
        "url": "https://github.com/agongt408/vbranch"
      },
      {
        "title": "abhishirk/Aligned_ReId",
        "url": "https://github.com/abhishirk/Aligned_ReId"
      },
      {
        "title": "infinitylogesh/Kaggle-Quora-Incincere-question-classification",
        "url": "https://github.com/infinitylogesh/Kaggle-Quora-Incincere-question-classification"
      },
      {
        "title": "thomas-liao/diva_tracking_reid",
        "url": "https://github.com/thomas-liao/diva_tracking_reid"
      }
    ],
    "date": "2017-03-22",
    "date2": 20170322,
    "model": "LuNet",
    "paper": {
      "title": "In Defense of the Triplet Loss for Person Re-Identification",
      "url": "https://cknow.io/lib/ff1fd891d54dd9a2"
    },
    "paper_data_uoa": "ff1fd891d54dd9a2"
  }
]