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Models/XMem (DAVIS and YouTubeVOS only)

XMem (DAVIS and YouTubeVOS only)

Reported on 21 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 Vision21 results

  • VideoonDAVIS 2017 (val)
    F-measure (Mean)· uses extra data· 2022-07-14
    87.6
    best: 93.4 (Cutie+ (base))
    XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelarXiv:2207.07115
  • VideoonDAVIS 2017 (val)
    J&F· uses extra data· 2022-07-14
    84.5
    best: 90.7 (SAM2)
    XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelarXiv:2207.07115
  • VideoonDAVIS 2017 (val)
    Jaccard (Mean)· uses extra data· 2022-07-14
    81.4
    best: 87.5 (Cutie+ (base))
    XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelarXiv:2207.07115
  • VideoonDAVIS 2017 (val)
    Speed (FPS)· uses extra data· 2022-07-14
    22.6
    best: 90.6 (MobileVOS (BL30K))
    XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelarXiv:2207.07115
  • VideoonDAVIS 2017 (test-dev)
    F-measure (Mean)· uses extra data· 2022-07-14
    83.4
    best: 91.4 (Cutie+ (base, MEGA))
    XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelarXiv:2207.07115
  • VideoonDAVIS 2017 (test-dev)
    J&F· uses extra data· 2022-07-14
    79.8
    best: 88.1 (Cutie+ (base, MEGA))
    XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelarXiv:2207.07115
  • VideoonDAVIS 2017 (test-dev)
    Jaccard (Mean)· uses extra data· 2022-07-14
    76.3
    best: 84.7 (Cutie+ (base, MEGA))
    XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelarXiv:2207.07115
  • Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Mean)· uses extra data· 2022-07-14
    87.6
    best: 93.4 (Cutie+ (base))
    XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelarXiv:2207.07115
  • Video Object SegmentationonDAVIS 2017 (val)
    J&F· uses extra data· 2022-07-14
    84.5
    best: 90.7 (SAM2)
    XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelarXiv:2207.07115
  • Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Mean)· uses extra data· 2022-07-14
    81.4
    best: 87.5 (Cutie+ (base))
    XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelarXiv:2207.07115
  • Video Object SegmentationonDAVIS 2017 (val)
    Speed (FPS)· uses extra data· 2022-07-14
    22.6
    best: 90.6 (MobileVOS (BL30K))
    XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelarXiv:2207.07115
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure (Mean)· uses extra data· 2022-07-14
    83.4
    best: 91.4 (Cutie+ (base, MEGA))
    XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelarXiv:2207.07115
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    J&F· uses extra data· 2022-07-14
    79.8
    best: 88.1 (Cutie+ (base, MEGA))
    XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelarXiv:2207.07115
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard (Mean)· uses extra data· 2022-07-14
    76.3
    best: 84.7 (Cutie+ (base, MEGA))
    XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelarXiv:2207.07115
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Mean)· uses extra data· 2022-07-14
    87.6
    best: 93.4 (Cutie+ (base))
    XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelarXiv:2207.07115
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    J&F· uses extra data· 2022-07-14
    84.5
    best: 90.7 (SAM2)
    XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelarXiv:2207.07115
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Mean)· uses extra data· 2022-07-14
    81.4
    best: 87.5 (Cutie+ (base))
    XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelarXiv:2207.07115
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    Speed (FPS)· uses extra data· 2022-07-14
    22.6
    best: 90.6 (MobileVOS (BL30K))
    XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelarXiv:2207.07115
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure (Mean)· uses extra data· 2022-07-14
    83.4
    best: 91.4 (Cutie+ (base, MEGA))
    XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelarXiv:2207.07115
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    J&F· uses extra data· 2022-07-14
    79.8
    best: 88.1 (Cutie+ (base, MEGA))
    XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelarXiv:2207.07115
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard (Mean)· uses extra data· 2022-07-14
    76.3
    best: 84.7 (Cutie+ (base, MEGA))
    XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelarXiv:2207.07115