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Models/XMem (DAVIS only)

XMem (DAVIS only)

Reported on 24 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 Vision24 results

  • VideoonDAVIS 2017 (val)
    F-measure (Mean)· 2022-07-14
    79.3
    best: 93.4 (Cutie+ (base))
    XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelarXiv:2207.07115
  • VideoonDAVIS 2017 (val)
    J&F· 2022-07-14
    76.7
    best: 90.7 (SAM2)
    XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelarXiv:2207.07115
  • VideoonDAVIS 2017 (val)
    Jaccard (Mean)· 2022-07-14
    74.1
    best: 87.5 (Cutie+ (base))
    XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelarXiv:2207.07115
  • VideoonDAVIS 2017 (val)
    Speed (FPS)· 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 2016
    F-measure (Mean)· 2022-07-14
    88.9
    best: 94.7 (SwinB-DeAOT-L)
    XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelarXiv:2207.07115
  • VideoonDAVIS 2016
    J&F· 2022-07-14
    87.8
    best: 93.4 (ISVOS (BL30K, MS))
    XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelarXiv:2207.07115
  • VideoonDAVIS 2016
    Jaccard (Mean)· 2022-07-14
    86.7
    best: 92.5 (ISVOS (BL30K, MS))
    XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelarXiv:2207.07115
  • VideoonDAVIS 2016
    Speed (FPS)· 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 2017 (val)
    F-measure (Mean)· 2022-07-14
    79.3
    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· 2022-07-14
    76.7
    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)· 2022-07-14
    74.1
    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)· 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 2016
    F-measure (Mean)· 2022-07-14
    88.9
    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· 2022-07-14
    87.8
    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)· 2022-07-14
    86.7
    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)· 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 2017 (val)
    F-measure (Mean)· 2022-07-14
    79.3
    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· 2022-07-14
    76.7
    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)· 2022-07-14
    74.1
    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)· 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 2016
    F-measure (Mean)· 2022-07-14
    88.9
    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· 2022-07-14
    87.8
    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)· 2022-07-14
    86.7
    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)· 2022-07-14
    29.6
    best: 100.1 (MobileVOS (BL30K))
    XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory ModelarXiv:2207.07115