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Reported on 30 benchmarks across 3 tasks · 1 paper · 12 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision30 results

  • VideoonDAVIS (no YouTube-VOS training)
    D17 test (F)· 2022-07-14
    72.2
    SOTA
    Tackling Background Distraction in Video Object SegmentationarXiv:2207.06953
  • VideoonDAVIS (no YouTube-VOS training)
    D17 test (G)· 2022-07-14
    69.4
    SOTA
    Tackling Background Distraction in Video Object SegmentationarXiv:2207.06953
  • VideoonDAVIS (no YouTube-VOS training)
    D17 test (J)· 2022-07-14
    66.6
    SOTA
    Tackling Background Distraction in Video Object SegmentationarXiv:2207.06953
  • VideoonDAVIS (no YouTube-VOS training)
    FPS· 2022-07-14
    50.1
    SOTA
    Tackling Background Distraction in Video Object SegmentationarXiv:2207.06953
  • Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D17 test (F)· 2022-07-14
    72.2
    SOTA
    Tackling Background Distraction in Video Object SegmentationarXiv:2207.06953
  • Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D17 test (G)· 2022-07-14
    69.4
    SOTA
    Tackling Background Distraction in Video Object SegmentationarXiv:2207.06953
  • Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D17 test (J)· 2022-07-14
    66.6
    SOTA
    Tackling Background Distraction in Video Object SegmentationarXiv:2207.06953
  • Video Object SegmentationonDAVIS (no YouTube-VOS training)
    FPS· 2022-07-14
    50.1
    SOTA
    Tackling Background Distraction in Video Object SegmentationarXiv:2207.06953
  • Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D17 test (F)· 2022-07-14
    72.2
    SOTA
    Tackling Background Distraction in Video Object SegmentationarXiv:2207.06953
  • Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D17 test (G)· 2022-07-14
    69.4
    SOTA
    Tackling Background Distraction in Video Object SegmentationarXiv:2207.06953
  • Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D17 test (J)· 2022-07-14
    66.6
    SOTA
    Tackling Background Distraction in Video Object SegmentationarXiv:2207.06953
  • Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
    FPS· 2022-07-14
    50.1
    SOTA
    Tackling Background Distraction in Video Object SegmentationarXiv:2207.06953
  • VideoonDAVIS (no YouTube-VOS training)
    D16 val (F)· 2022-07-14
    86.2
    best: 90.6 (HMMN)
    Tackling Background Distraction in Video Object SegmentationarXiv:2207.06953
  • VideoonDAVIS (no YouTube-VOS training)
    D16 val (G)· 2022-07-14
    86.8
    best: 89.4 (HMMN)
    Tackling Background Distraction in Video Object SegmentationarXiv:2207.06953
  • VideoonDAVIS (no YouTube-VOS training)
    D16 val (J)· 2022-07-14
    87.5
    best: 88.2 (HMMN)
    Tackling Background Distraction in Video Object SegmentationarXiv:2207.06953
  • VideoonDAVIS (no YouTube-VOS training)
    D17 val (F)· 2022-07-14
    82.3
    best: 83.1 (HMMN)
    Tackling Background Distraction in Video Object SegmentationarXiv:2207.06953
  • VideoonDAVIS (no YouTube-VOS training)
    D17 val (G)· 2022-07-14
    80
    best: 80.4 (HMMN)
    Tackling Background Distraction in Video Object SegmentationarXiv:2207.06953
  • VideoonDAVIS (no YouTube-VOS training)
    D17 val (J)· 2022-07-14
    77.6
    best: 77.7 (HMMN)
    Tackling Background Distraction in Video Object SegmentationarXiv:2207.06953
  • Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D16 val (F)· 2022-07-14
    86.2
    best: 90.6 (HMMN)
    Tackling Background Distraction in Video Object SegmentationarXiv:2207.06953
  • Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D16 val (G)· 2022-07-14
    86.8
    best: 89.4 (HMMN)
    Tackling Background Distraction in Video Object SegmentationarXiv:2207.06953
  • Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D16 val (J)· 2022-07-14
    87.5
    best: 88.2 (HMMN)
    Tackling Background Distraction in Video Object SegmentationarXiv:2207.06953
  • Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D17 val (F)· 2022-07-14
    82.3
    best: 83.1 (HMMN)
    Tackling Background Distraction in Video Object SegmentationarXiv:2207.06953
  • Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D17 val (G)· 2022-07-14
    80
    best: 80.4 (HMMN)
    Tackling Background Distraction in Video Object SegmentationarXiv:2207.06953
  • Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D17 val (J)· 2022-07-14
    77.6
    best: 77.7 (HMMN)
    Tackling Background Distraction in Video Object SegmentationarXiv:2207.06953
  • Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D16 val (F)· 2022-07-14
    86.2
    best: 90.6 (HMMN)
    Tackling Background Distraction in Video Object SegmentationarXiv:2207.06953
  • Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D16 val (G)· 2022-07-14
    86.8
    best: 89.4 (HMMN)
    Tackling Background Distraction in Video Object SegmentationarXiv:2207.06953
  • Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D16 val (J)· 2022-07-14
    87.5
    best: 88.2 (HMMN)
    Tackling Background Distraction in Video Object SegmentationarXiv:2207.06953
  • Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D17 val (F)· 2022-07-14
    82.3
    best: 83.1 (HMMN)
    Tackling Background Distraction in Video Object SegmentationarXiv:2207.06953
  • Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D17 val (G)· 2022-07-14
    80
    best: 80.4 (HMMN)
    Tackling Background Distraction in Video Object SegmentationarXiv:2207.06953
  • Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D17 val (J)· 2022-07-14
    77.6
    best: 77.7 (HMMN)
    Tackling Background Distraction in Video Object SegmentationarXiv:2207.06953