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Models/DTN

DTN

Reported on 23 benchmarks across 5 tasks

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

Computer Vision22 results

  • VideoonDAVIS (no YouTube-VOS training)
    D16 val (F)
    83.5
    best: 90.6 (HMMN)
  • VideoonDAVIS (no YouTube-VOS training)
    D16 val (G)
    83.6
    best: 89.4 (HMMN)
  • VideoonDAVIS (no YouTube-VOS training)
    D16 val (J)
    83.7
    best: 88.2 (HMMN)
  • VideoonDAVIS (no YouTube-VOS training)
    D17 val (F)
    70.6
    best: 83.1 (HMMN)
  • VideoonDAVIS (no YouTube-VOS training)
    D17 val (G)
    67.4
    best: 80.4 (HMMN)
  • VideoonDAVIS (no YouTube-VOS training)
    D17 val (J)
    64.2
    best: 77.7 (HMMN)
  • VideoonDAVIS (no YouTube-VOS training)
    FPS
    14.3
    best: 50.1 (TBD)
  • Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D16 val (F)
    83.5
    best: 90.6 (HMMN)
  • Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D16 val (G)
    83.6
    best: 89.4 (HMMN)
  • Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D16 val (J)
    83.7
    best: 88.2 (HMMN)
  • Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D17 val (F)
    70.6
    best: 83.1 (HMMN)
  • Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D17 val (G)
    67.4
    best: 80.4 (HMMN)
  • Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D17 val (J)
    64.2
    best: 77.7 (HMMN)
  • Video Object SegmentationonDAVIS (no YouTube-VOS training)
    FPS
    14.3
    best: 50.1 (TBD)
  • Sign Language RecognitiononRWTH-PHOENIX-Weather 2014
    Word Error Rate (WER)
    36.5
    best: 18.3 (SlowFastSign)
  • Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D16 val (F)
    83.5
    best: 90.6 (HMMN)
  • Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D16 val (G)
    83.6
    best: 89.4 (HMMN)
  • Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D16 val (J)
    83.7
    best: 88.2 (HMMN)
  • Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D17 val (F)
    70.6
    best: 83.1 (HMMN)
  • Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D17 val (G)
    67.4
    best: 80.4 (HMMN)
  • Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D17 val (J)
    64.2
    best: 77.7 (HMMN)
  • Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
    FPS
    14.3
    best: 50.1 (TBD)

Medical1 result

  • Medical Image SegmentationonSNEMI3D
    AUC
    0.8953