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Models/STCNN

STCNN

Reported on 24 benchmarks across 4 tasks · 2 papers · 3 SOTA

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

Computer Vision22 results

  • VideoonTTStroke-21 ME21
    Acc· 2021-12-16
    20.4
    SOTA
    Spatio-Temporal CNN baseline method for the Sports Video Task of MediaEval 2021 benchmarkarXiv:2112.12074
  • VideoonDAVIS (no YouTube-VOS training)
    D16 val (F)· 2019-04-04
    83.8
    best: 90.6 (HMMN)
    Spatiotemporal CNN for Video Object SegmentationarXiv:1904.02363
  • VideoonDAVIS (no YouTube-VOS training)
    D16 val (G)· 2019-04-04
    83.8
    best: 89.4 (HMMN)
    Spatiotemporal CNN for Video Object SegmentationarXiv:1904.02363
  • VideoonDAVIS (no YouTube-VOS training)
    D16 val (J)· 2019-04-04
    83.8
    best: 88.2 (HMMN)
    Spatiotemporal CNN for Video Object SegmentationarXiv:1904.02363
  • VideoonDAVIS (no YouTube-VOS training)
    D17 val (F)· 2019-04-04
    64.6
    best: 83.1 (HMMN)
    Spatiotemporal CNN for Video Object SegmentationarXiv:1904.02363
  • VideoonDAVIS (no YouTube-VOS training)
    D17 val (G)· 2019-04-04
    61.7
    best: 80.4 (HMMN)
    Spatiotemporal CNN for Video Object SegmentationarXiv:1904.02363
  • VideoonDAVIS (no YouTube-VOS training)
    D17 val (J)· 2019-04-04
    58.7
    best: 77.7 (HMMN)
    Spatiotemporal CNN for Video Object SegmentationarXiv:1904.02363
  • VideoonDAVIS (no YouTube-VOS training)
    FPS· 2019-04-04
    0.26
    best: 50.1 (TBD)
    Spatiotemporal CNN for Video Object SegmentationarXiv:1904.02363
  • Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D16 val (F)· 2019-04-04
    83.8
    best: 90.6 (HMMN)
    Spatiotemporal CNN for Video Object SegmentationarXiv:1904.02363
  • Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D16 val (G)· 2019-04-04
    83.8
    best: 89.4 (HMMN)
    Spatiotemporal CNN for Video Object SegmentationarXiv:1904.02363
  • Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D16 val (J)· 2019-04-04
    83.8
    best: 88.2 (HMMN)
    Spatiotemporal CNN for Video Object SegmentationarXiv:1904.02363
  • Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D17 val (F)· 2019-04-04
    64.6
    best: 83.1 (HMMN)
    Spatiotemporal CNN for Video Object SegmentationarXiv:1904.02363
  • Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D17 val (G)· 2019-04-04
    61.7
    best: 80.4 (HMMN)
    Spatiotemporal CNN for Video Object SegmentationarXiv:1904.02363
  • Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D17 val (J)· 2019-04-04
    58.7
    best: 77.7 (HMMN)
    Spatiotemporal CNN for Video Object SegmentationarXiv:1904.02363
  • Video Object SegmentationonDAVIS (no YouTube-VOS training)
    FPS· 2019-04-04
    0.26
    best: 50.1 (TBD)
    Spatiotemporal CNN for Video Object SegmentationarXiv:1904.02363
  • Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D16 val (F)· 2019-04-04
    83.8
    best: 90.6 (HMMN)
    Spatiotemporal CNN for Video Object SegmentationarXiv:1904.02363
  • Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D16 val (G)· 2019-04-04
    83.8
    best: 89.4 (HMMN)
    Spatiotemporal CNN for Video Object SegmentationarXiv:1904.02363
  • Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D16 val (J)· 2019-04-04
    83.8
    best: 88.2 (HMMN)
    Spatiotemporal CNN for Video Object SegmentationarXiv:1904.02363
  • Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D17 val (F)· 2019-04-04
    64.6
    best: 83.1 (HMMN)
    Spatiotemporal CNN for Video Object SegmentationarXiv:1904.02363
  • Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D17 val (G)· 2019-04-04
    61.7
    best: 80.4 (HMMN)
    Spatiotemporal CNN for Video Object SegmentationarXiv:1904.02363
  • Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
    D17 val (J)· 2019-04-04
    58.7
    best: 77.7 (HMMN)
    Spatiotemporal CNN for Video Object SegmentationarXiv:1904.02363
  • Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
    FPS· 2019-04-04
    0.26
    best: 50.1 (TBD)
    Spatiotemporal CNN for Video Object SegmentationarXiv:1904.02363

Time Series2 results

  • Action DetectiononTTStroke-21 ME21
    IoU· 2021-12-16
    0.144
    SOTA
    Spatio-Temporal CNN baseline method for the Sports Video Task of MediaEval 2021 benchmarkarXiv:2112.12074
  • Action DetectiononTTStroke-21 ME21
    mAP· 2021-12-16
    0.0173
    SOTA
    Spatio-Temporal CNN baseline method for the Sports Video Task of MediaEval 2021 benchmarkarXiv:2112.12074