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/SiamMask

SiamMask

Reported on 79 benchmarks across 5 tasks · 1 paper · 6 SOTA

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

Computer Vision79 results

  • VideoonNT-VOT211
    AUC· 2018-12-12
    35.14
    best: 40.1 (ProContEXT)
    SOTA
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • VideoonNT-VOT211
    Precision· 2018-12-12
    46.49
    best: 55.8 (ODTrack)
    SOTA
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Object TrackingonVOT2017/18
    Expected Average Overlap (EAO)· 2018-12-12
    0.38
    best: 0.446 (SiamMask_E)
    SOTA
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Object TrackingonNT-VOT211
    AUC· 2018-12-12
    35.14
    best: 40.1 (ProContEXT)
    SOTA
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Object TrackingonNT-VOT211
    Precision· 2018-12-12
    46.49
    best: 55.8 (ODTrack)
    SOTA
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Visual Object TrackingonVOT2017/18
    Expected Average Overlap (EAO)· 2018-12-12
    0.38
    best: 0.446 (SiamMask_E)
    SOTA
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • VideoonDAVIS 2017 (val)
    F-measure (Decay)· 2018-12-12
    20.9
    best: 85.3 (STCN)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • VideoonDAVIS 2017 (val)
    F-measure (Mean)· 2018-12-12
    58.5
    best: 93.4 (Cutie+ (base))
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • VideoonDAVIS 2017 (val)
    F-measure (Recall)· 2018-12-12
    67.5
    best: 94.6 (STCN)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • VideoonDAVIS 2017 (val)
    J&F· 2018-12-12
    56.4
    best: 90.7 (SAM2)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • VideoonDAVIS 2017 (val)
    Jaccard (Decay)· 2018-12-12
    19.3
    best: 32.5 (MuG-W)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • VideoonDAVIS 2017 (val)
    Jaccard (Mean)· 2018-12-12
    54.3
    best: 87.5 (Cutie+ (base))
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • VideoonDAVIS 2017 (val)
    Jaccard (Recall)· 2018-12-12
    62.8
    best: 91.4 (ISVOS (MS))
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • VideoonDAVIS 2016
    F-measure (Decay)· 2018-12-12
    2.1
    best: 27.2 (OFL)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • VideoonDAVIS 2016
    F-measure (Mean)· 2018-12-12
    67.8
    best: 94.7 (SwinB-DeAOT-L)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • VideoonDAVIS 2016
    F-measure (Recall)· 2018-12-12
    79.8
    best: 97.1 (STCN)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • VideoonDAVIS 2016
    J&F· 2018-12-12
    69.75
    best: 93.4 (ISVOS (BL30K, MS))
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • VideoonDAVIS 2016
    Jaccard (Decay)· 2018-12-12
    3
    best: 28.9 (BVS)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • VideoonDAVIS 2016
    Jaccard (Mean)· 2018-12-12
    71.7
    best: 92.5 (ISVOS (BL30K, MS))
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • VideoonDAVIS 2016
    Jaccard (Recall)· 2018-12-12
    86.8
    best: 98.1 (STCN)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • VideoonDAVIS 2017 (test-dev)
    F-measure (Decay)· 2018-12-12
    22.4
    best: 37.2 (RGMP)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • VideoonDAVIS 2017 (test-dev)
    F-measure (Mean)· 2018-12-12
    45.8
    best: 91.4 (Cutie+ (base, MEGA))
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • VideoonDAVIS 2017 (test-dev)
    F-measure (Recall)· 2018-12-12
    45.3
    best: 89.7 (STCN)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • VideoonDAVIS 2017 (test-dev)
    J&F· 2018-12-12
    43.2
    best: 88.1 (Cutie+ (base, MEGA))
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • VideoonDAVIS 2017 (test-dev)
    Jaccard (Decay)· 2018-12-12
    21.9
    best: 35.7 (RVOS)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • VideoonDAVIS 2017 (test-dev)
    Jaccard (Mean)· 2018-12-12
    40.6
    best: 84.7 (Cutie+ (base, MEGA))
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • VideoonDAVIS 2017 (test-dev)
    Jaccard (Recall)· 2018-12-12
    44.5
    best: 85.5 (STCN)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Object TrackingonYouTube-VOS 2018
    F-Measure (Seen)· 2018-12-12
    58.2
    best: 86.7 (TransVOS)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Object TrackingonYouTube-VOS 2018
    F-Measure (Unseen)· 2018-12-12
    47.7
    best: 83.4 (TransVOS)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Object TrackingonYouTube-VOS 2018
    Jaccard (Seen)· 2018-12-12
    54.3
    best: 73.5 (PTSNet)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Object TrackingonYouTube-VOS 2018
    Jaccard (Unseen)· 2018-12-12
    45.1
    best: 75.7 (RMN)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Object TrackingonYouTube-VOS 2018
    O (Average of Measures)· 2018-12-12
    52.8
    best: 58.8 (OSVOS)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Decay)· 2018-12-12
    20.9
    best: 85.3 (STCN)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Mean)· 2018-12-12
    58.5
    best: 93.4 (Cutie+ (base))
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Recall)· 2018-12-12
    67.5
    best: 94.6 (STCN)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Video Object SegmentationonDAVIS 2017 (val)
    J&F· 2018-12-12
    56.4
    best: 90.7 (SAM2)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Decay)· 2018-12-12
    19.3
    best: 32.5 (MuG-W)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Mean)· 2018-12-12
    54.3
    best: 87.5 (Cutie+ (base))
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Recall)· 2018-12-12
    62.8
    best: 91.4 (ISVOS (MS))
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Video Object SegmentationonDAVIS 2016
    F-measure (Decay)· 2018-12-12
    2.1
    best: 27.2 (OFL)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Video Object SegmentationonDAVIS 2016
    F-measure (Mean)· 2018-12-12
    67.8
    best: 94.7 (SwinB-DeAOT-L)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Video Object SegmentationonDAVIS 2016
    F-measure (Recall)· 2018-12-12
    79.8
    best: 97.1 (STCN)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Video Object SegmentationonDAVIS 2016
    J&F· 2018-12-12
    69.75
    best: 93.4 (ISVOS (BL30K, MS))
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Video Object SegmentationonDAVIS 2016
    Jaccard (Decay)· 2018-12-12
    3
    best: 28.9 (BVS)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Video Object SegmentationonDAVIS 2016
    Jaccard (Mean)· 2018-12-12
    71.7
    best: 92.5 (ISVOS (BL30K, MS))
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Video Object SegmentationonDAVIS 2016
    Jaccard (Recall)· 2018-12-12
    86.8
    best: 98.1 (STCN)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure (Decay)· 2018-12-12
    22.4
    best: 37.2 (RGMP)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure (Mean)· 2018-12-12
    45.8
    best: 91.4 (Cutie+ (base, MEGA))
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure (Recall)· 2018-12-12
    45.3
    best: 89.7 (STCN)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    J&F· 2018-12-12
    43.2
    best: 88.1 (Cutie+ (base, MEGA))
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard (Decay)· 2018-12-12
    21.9
    best: 35.7 (RVOS)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard (Mean)· 2018-12-12
    40.6
    best: 84.7 (Cutie+ (base, MEGA))
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard (Recall)· 2018-12-12
    44.5
    best: 85.5 (STCN)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Decay)· 2018-12-12
    20.9
    best: 85.3 (STCN)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Mean)· 2018-12-12
    58.5
    best: 93.4 (Cutie+ (base))
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    F-measure (Recall)· 2018-12-12
    67.5
    best: 94.6 (STCN)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    J&F· 2018-12-12
    56.4
    best: 90.7 (SAM2)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Decay)· 2018-12-12
    19.3
    best: 32.5 (MuG-W)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Mean)· 2018-12-12
    54.3
    best: 87.5 (Cutie+ (base))
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
    Jaccard (Recall)· 2018-12-12
    62.8
    best: 91.4 (ISVOS (MS))
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    F-measure (Decay)· 2018-12-12
    2.1
    best: 27.2 (OFL)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    F-measure (Mean)· 2018-12-12
    67.8
    best: 94.7 (SwinB-DeAOT-L)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    F-measure (Recall)· 2018-12-12
    79.8
    best: 97.1 (STCN)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    J&F· 2018-12-12
    69.75
    best: 93.4 (ISVOS (BL30K, MS))
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    Jaccard (Decay)· 2018-12-12
    3
    best: 28.9 (BVS)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    Jaccard (Mean)· 2018-12-12
    71.7
    best: 92.5 (ISVOS (BL30K, MS))
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Semi-Supervised Video Object SegmentationonDAVIS 2016
    Jaccard (Recall)· 2018-12-12
    86.8
    best: 98.1 (STCN)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure (Decay)· 2018-12-12
    22.4
    best: 37.2 (RGMP)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure (Mean)· 2018-12-12
    45.8
    best: 91.4 (Cutie+ (base, MEGA))
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure (Recall)· 2018-12-12
    45.3
    best: 89.7 (STCN)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    J&F· 2018-12-12
    43.2
    best: 88.1 (Cutie+ (base, MEGA))
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard (Decay)· 2018-12-12
    21.9
    best: 35.7 (RVOS)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard (Mean)· 2018-12-12
    40.6
    best: 84.7 (Cutie+ (base, MEGA))
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard (Recall)· 2018-12-12
    44.5
    best: 85.5 (STCN)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Visual Object TrackingonYouTube-VOS 2018
    F-Measure (Seen)· 2018-12-12
    58.2
    best: 86.7 (TransVOS)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Visual Object TrackingonYouTube-VOS 2018
    F-Measure (Unseen)· 2018-12-12
    47.7
    best: 83.4 (TransVOS)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Visual Object TrackingonYouTube-VOS 2018
    Jaccard (Seen)· 2018-12-12
    54.3
    best: 73.5 (PTSNet)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Visual Object TrackingonYouTube-VOS 2018
    Jaccard (Unseen)· 2018-12-12
    45.1
    best: 75.7 (RMN)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050
  • Visual Object TrackingonYouTube-VOS 2018
    O (Average of Measures)· 2018-12-12
    52.8
    best: 58.8 (OSVOS)
    Fast Online Object Tracking and Segmentation: A Unifying ApproacharXiv:1812.05050