[
  {
    "Expected Average Overlap (EAO)": 0.446,
    "code_links": [
      {
        "title": "baoxinchen/siammask_e",
        "url": "https://github.com/baoxinchen/siammask_e"
      }
    ],
    "date": "2019-07-08",
    "date2": 20190708,
    "model": "SiamMask_E",
    "paper": {
      "title": "Fast Visual Object Tracking with Rotated Bounding Boxes",
      "url": "https://cknow.io/lib/78655c664e5a81cc"
    },
    "paper_data_uoa": "78655c664e5a81cc"
  },
  {
    "Expected Average Overlap (EAO)": 0.416,
    "code_links": [
      {
        "title": "xl-sr/THOR",
        "url": "https://github.com/xl-sr/THOR"
      }
    ],
    "date": "2019-07-21",
    "date2": 20190721,
    "model": "THOR-SiamRPN",
    "paper": {
      "title": "Tracking Holistic Object Representations",
      "url": "https://cknow.io/lib/14779a3c66035030"
    },
    "paper_data_uoa": "14779a3c66035030"
  },
  {
    "Expected Average Overlap (EAO)": 0.414,
    "code_links": [
      {
        "title": "STVIR/pysot",
        "url": "https://github.com/STVIR/pysot"
      },
      {
        "title": "zllrunning/SiameseX.PyTorch",
        "url": "https://github.com/zllrunning/SiameseX.PyTorch"
      },
      {
        "title": "ZoieMo/paper",
        "url": "https://github.com/ZoieMo/paper"
      }
    ],
    "date": "2018-12-31",
    "date2": 20181231,
    "model": "SiamRPN++",
    "paper": {
      "title": "SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks",
      "url": "https://cknow.io/lib/f740e2f744341acc"
    },
    "paper_data_uoa": "f740e2f744341acc"
  },
  {
    "Expected Average Overlap (EAO)": 0.4104,
    "code_links": [
      {
        "title": "xl-sr/THOR",
        "url": "https://github.com/xl-sr/THOR"
      }
    ],
    "date": "2019-07-21",
    "date2": 20190721,
    "model": "THOR-SiamMask",
    "paper": {
      "title": "Tracking Holistic Object Representations",
      "url": "https://cknow.io/lib/14779a3c66035030"
    },
    "paper_data_uoa": "14779a3c66035030"
  },
  {
    "Expected Average Overlap (EAO)": 0.383,
    "code_links": [
      {
        "title": "foolwood/DaSiamRPN",
        "url": "https://github.com/foolwood/DaSiamRPN"
      },
      {
        "title": "zkisthebest/Siamese-RPN",
        "url": "https://github.com/zkisthebest/Siamese-RPN"
      }
    ],
    "date": "2018-06-01",
    "date2": 20180601,
    "model": "SiamRPN",
    "paper": {
      "title": "High Performance Visual Tracking With Siamese Region Proposal Network",
      "url": "https://cknow.io/lib/4ec1954ff335738a"
    },
    "paper_data_uoa": "4ec1954ff335738a"
  },
  {
    "Expected Average Overlap (EAO)": 0.38,
    "code_links": [
      {
        "title": "foolwood/SiamMask",
        "url": "https://github.com/foolwood/SiamMask"
      }
    ],
    "date": "2018-12-12",
    "date2": 20181212,
    "model": "SiamMask",
    "paper": {
      "title": "Fast Online Object Tracking and Segmentation: A Unifying Approach",
      "url": "https://cknow.io/lib/943a1b870886365c"
    },
    "paper_data_uoa": "943a1b870886365c"
  },
  {
    "Expected Average Overlap (EAO)": 0.345,
    "code_links": [
      {
        "title": "lifeng9472/STRCF",
        "url": "https://github.com/lifeng9472/STRCF"
      }
    ],
    "date": "2018-03-23",
    "date2": 20180323,
    "model": "STRCF",
    "paper": {
      "title": "Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking",
      "url": "https://cknow.io/lib/044b218e5d832bc1"
    },
    "paper_data_uoa": "044b218e5d832bc1"
  },
  {
    "Expected Average Overlap (EAO)": 0.337,
    "code_links": [
      {
        "title": "77695/Siam-BM",
        "url": "https://github.com/77695/Siam-BM"
      }
    ],
    "date": "2018-09-05",
    "date2": 20180905,
    "model": "SA Siam R",
    "paper": {
      "title": "Towards a Better Match in Siamese Network Based Visual Object Tracker",
      "url": "https://cknow.io/lib/08f5423c8aa10972"
    },
    "paper_data_uoa": "08f5423c8aa10972"
  },
  {
    "Expected Average Overlap (EAO)": 0.326,
    "code_links": [
      {
        "title": "foolwood/DaSiamRPN",
        "url": "https://github.com/foolwood/DaSiamRPN"
      }
    ],
    "date": "2018-08-18",
    "date2": 20180818,
    "model": "DaSiamRPN",
    "paper": {
      "title": "Distractor-aware Siamese Networks for Visual Object Tracking",
      "url": "https://cknow.io/lib/c59dac69005c1761"
    },
    "paper_data_uoa": "c59dac69005c1761"
  },
  {
    "Expected Average Overlap (EAO)": 0.323,
    "code_links": [],
    "date": "2017-06-22",
    "date2": 20170622,
    "model": "LSART",
    "paper": {
      "title": "Learning Spatial-Aware Regressions for Visual Tracking",
      "url": "https://cknow.io/lib/40a1b12bb50709f6"
    },
    "paper_data_uoa": "40a1b12bb50709f6"
  },
  {
    "Expected Average Overlap (EAO)": 0.28,
    "code_links": [
      {
        "title": "martin-danelljan/ECO",
        "url": "https://github.com/martin-danelljan/ECO"
      }
    ],
    "date": "2016-11-28",
    "date2": 20161128,
    "model": "ECO",
    "paper": {
      "title": "ECO: Efficient Convolution Operators for Tracking",
      "url": "https://cknow.io/lib/fbb4dd29cee6aef4"
    },
    "paper_data_uoa": "fbb4dd29cee6aef4"
  },
  {
    "Expected Average Overlap (EAO)": 0.263,
    "code_links": [
      {
        "title": "alanlukezic/csr-dcf",
        "url": "https://github.com/alanlukezic/csr-dcf"
      }
    ],
    "date": "2016-11-25",
    "date2": 20161125,
    "model": "CSRDCF",
    "paper": {
      "title": "Discriminative Correlation Filter with Channel and Spatial Reliability",
      "url": "https://cknow.io/lib/f4a30bfa50f9ce1c"
    },
    "paper_data_uoa": "f4a30bfa50f9ce1c"
  },
  {
    "Expected Average Overlap (EAO)": 0.137,
    "code_links": [
      {
        "title": "jongwon20000/TRACA",
        "url": "https://github.com/jongwon20000/TRACA"
      }
    ],
    "date": "2018-03-28",
    "date2": 20180328,
    "model": "TRACA",
    "paper": {
      "title": "Context-aware Deep Feature Compression for High-speed Visual Tracking",
      "url": "https://cknow.io/lib/45c8a702ea3305df"
    },
    "paper_data_uoa": "45c8a702ea3305df"
  }
]