[
  {
    "AP 0.5": 59.7,
    "code_links": [
      {
        "title": "ZhaoJ9014/Multi-Human-Parsing",
        "url": "https://github.com/ZhaoJ9014/Multi-Human-Parsing"
      }
    ],
    "date": "2018-04-10",
    "date2": 20180410,
    "model": "NAN",
    "paper": {
      "title": "Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing",
      "url": "https://cknow.io/lib/e6c925f81c44ed2b"
    },
    "paper_data_uoa": "e6c925f81c44ed2b"
  },
  {
    "AP 0.5": 40.6,
    "code_links": [],
    "date": "2017-09-11",
    "date2": 20170911,
    "model": "Holistic instance-level",
    "paper": {
      "title": "Holistic, Instance-Level Human Parsing",
      "url": "https://cknow.io/lib/5ba4561f767e4f75"
    },
    "paper_data_uoa": "5ba4561f767e4f75"
  },
  {
    "AP 0.5": 38.8,
    "code_links": [
      {
        "title": "daijifeng001/MNC",
        "url": "https://github.com/daijifeng001/MNC"
      }
    ],
    "date": "2015-12-14",
    "date2": 20151214,
    "model": "MNC",
    "paper": {
      "title": "Instance-aware Semantic Segmentation via Multi-task Network Cascades",
      "url": "https://cknow.io/lib/9a9676c14c298c74"
    },
    "paper_data_uoa": "9a9676c14c298c74"
  }
]