[
  {
    "text-to-video Mean Rank": 86.8,
    "text-to-video Median Rank": 16,
    "text-to-video R@1": 10,
    "text-to-video R@10": 41.2,
    "text-to-video R@5": 29,
    "video-to-text Mean Rank": 38.1,
    "video-to-text Median Rank": 8.3,
    "video-to-text R@1": 15.6,
    "video-to-text R@10": 55.2,
    "video-to-text R@5": 40.9,
    "code_links": [
      {
        "title": "albanie/collaborative-experts",
        "url": "https://github.com/albanie/collaborative-experts"
      }
    ],
    "date": "2019-07-31",
    "date2": 20190731,
    "model": "Collaborative Experts",
    "paper": {
      "title": "Use What You Have: Video Retrieval Using Representations From Collaborative Experts",
      "url": "https://cknow.io/lib/5831d49b387ec6be"
    },
    "paper_data_uoa": "5831d49b387ec6be"
  },
  {
    "text-to-video Mean Rank": 213.8,
    "text-to-video Median Rank": 29.7,
    "text-to-video R@1": 7,
    "text-to-video R@10": 29.7,
    "text-to-video R@5": 20.9,
    "video-to-text Mean Rank": 134,
    "video-to-text Median Rank": 16,
    "video-to-text R@1": 12.5,
    "video-to-text R@10": 42.2,
    "video-to-text R@5": 32.1,
    "code_links": [
      {
        "title": "niluthpol/multimodal_vtt",
        "url": "https://github.com/niluthpol/multimodal_vtt"
      }
    ],
    "date": "2018-06-11",
    "date2": 20180611,
    "model": "JEMC",
    "paper": {
      "title": "Learning Joint Embedding with Multimodal Cues for Cross-Modal Video-Text Retrieval",
      "url": "https://cknow.io/lib/422bb62e3ec3d501"
    },
    "paper_data_uoa": "422bb62e3ec3d501"
  }
]