TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/XMem (DAVIS+YouTubeVOS only)

XMem (DAVIS+YouTubeVOS only)

Reported on 12 benchmarks across 3 tasks · 1 paper

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

Computer Vision12 results

  • VideoonDAVIS 2016
    F-measure (Mean)· uses extra data· 2022-07-14
    91.9
    best: 94.7 (SwinB-DeAOT-L)
    XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelarXiv:2207.07115
  • VideoonDAVIS 2016
    J&F· uses extra data· 2022-07-14
    90.8
    best: 93.4 (ISVOS (BL30K, MS))
    XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelarXiv:2207.07115
  • VideoonDAVIS 2016
    Jaccard (Mean)· uses extra data· 2022-07-14
    89.6
    best: 92.5 (ISVOS (BL30K, MS))
    XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelarXiv:2207.07115
  • VideoonDAVIS 2016
    Speed (FPS)· uses extra data· 2022-07-14
    29.6
    best: 100.1 (MobileVOS (BL30K))
    XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelarXiv:2207.07115
  • Video Object SegmentationonDAVIS 2016
    F-measure (Mean)· uses extra data· 2022-07-14
    91.9
    best: 94.7 (SwinB-DeAOT-L)
    XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelarXiv:2207.07115
  • Video Object SegmentationonDAVIS 2016
    J&F· uses extra data· 2022-07-14
    90.8
    best: 93.4 (ISVOS (BL30K, MS))
    XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelarXiv:2207.07115
  • Video Object SegmentationonDAVIS 2016
    Jaccard (Mean)· uses extra data· 2022-07-14
    89.6
    best: 92.5 (ISVOS (BL30K, MS))
    XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelarXiv:2207.07115
  • Video Object SegmentationonDAVIS 2016
    Speed (FPS)· uses extra data· 2022-07-14
    29.6
    best: 100.1 (MobileVOS (BL30K))
    XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelarXiv:2207.07115
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    F-measure (Mean)· uses extra data· 2022-07-14
    91.9
    best: 94.7 (SwinB-DeAOT-L)
    XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelarXiv:2207.07115
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    J&F· uses extra data· 2022-07-14
    90.8
    best: 93.4 (ISVOS (BL30K, MS))
    XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelarXiv:2207.07115
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    Jaccard (Mean)· uses extra data· 2022-07-14
    89.6
    best: 92.5 (ISVOS (BL30K, MS))
    XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelarXiv:2207.07115
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    Speed (FPS)· uses extra data· 2022-07-14
    29.6
    best: 100.1 (MobileVOS (BL30K))
    XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelarXiv:2207.07115