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Models/PTSNet

PTSNet

Reported on 13 benchmarks across 5 tasks · 1 paper · 4 SOTA

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

Computer Vision13 results

  • Object TrackingonYouTube-VOS 2018
    Jaccard (Seen)· 2019-07-02
    73.5
    SOTA
    Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object SegmentationarXiv:1907.01203
  • Object TrackingonYouTube-VOS 2018
    Jaccard (Unseen)· 2019-07-02
    64.3
    best: 75.7 (RMN)
    SOTA
    Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object SegmentationarXiv:1907.01203
  • Visual Object TrackingonYouTube-VOS 2018
    Jaccard (Seen)· 2019-07-02
    73.5
    SOTA
    Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object SegmentationarXiv:1907.01203
  • Visual Object TrackingonYouTube-VOS 2018
    Jaccard (Unseen)· 2019-07-02
    64.3
    best: 75.7 (RMN)
    SOTA
    Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object SegmentationarXiv:1907.01203
  • VideoonDAVIS 2017 (val)
    F-measure (Mean)· 2019-07-02
    77.7
    best: 93.4 (Cutie+ (base))
    Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object SegmentationarXiv:1907.01203
  • VideoonDAVIS 2017 (val)
    J&F· 2019-07-02
    74.65
    best: 90.7 (SAM2)
    Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object SegmentationarXiv:1907.01203
  • VideoonDAVIS 2017 (val)
    Jaccard (Mean)· 2019-07-02
    71.6
    best: 87.5 (Cutie+ (base))
    Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object SegmentationarXiv:1907.01203
  • Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Mean)· 2019-07-02
    77.7
    best: 93.4 (Cutie+ (base))
    Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object SegmentationarXiv:1907.01203
  • Video Object SegmentationonDAVIS 2017 (val)
    J&F· 2019-07-02
    74.65
    best: 90.7 (SAM2)
    Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object SegmentationarXiv:1907.01203
  • Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Mean)· 2019-07-02
    71.6
    best: 87.5 (Cutie+ (base))
    Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object SegmentationarXiv:1907.01203
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Mean)· 2019-07-02
    77.7
    best: 93.4 (Cutie+ (base))
    Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object SegmentationarXiv:1907.01203
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    J&F· 2019-07-02
    74.65
    best: 90.7 (SAM2)
    Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object SegmentationarXiv:1907.01203
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Mean)· 2019-07-02
    71.6
    best: 87.5 (Cutie+ (base))
    Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object SegmentationarXiv:1907.01203