Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

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

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

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

Models/UVC

UVC

Reported on 15 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 Vision15 results

VideoonDAVIS 2017 (val)
F-measure (Mean)· 2019-09-26
61.3
best: 93.4 (Cutie+ (base))
Joint-task Self-supervised Learning for Temporal Correspondence arXiv:1909.11895
VideoonDAVIS 2017 (val)
F-measure (Recall)· 2019-09-26
69.8
best: 94.6 (STCN)
Joint-task Self-supervised Learning for Temporal Correspondence arXiv:1909.11895
VideoonDAVIS 2017 (val)
J&F· 2019-09-26
59.5
best: 90.7 (SAM2)
Joint-task Self-supervised Learning for Temporal Correspondence arXiv:1909.11895
VideoonDAVIS 2017 (val)
Jaccard (Mean)· 2019-09-26
57.7
best: 87.5 (Cutie+ (base))
Joint-task Self-supervised Learning for Temporal Correspondence arXiv:1909.11895
VideoonDAVIS 2017 (val)
Jaccard (Recall)· 2019-09-26
68.3
best: 91.4 (ISVOS (MS))
Joint-task Self-supervised Learning for Temporal Correspondence arXiv:1909.11895
Video Object SegmentationonDAVIS 2017 (val)
F-measure (Mean)· 2019-09-26
61.3
best: 93.4 (Cutie+ (base))
Joint-task Self-supervised Learning for Temporal Correspondence arXiv:1909.11895
Video Object SegmentationonDAVIS 2017 (val)
F-measure (Recall)· 2019-09-26
69.8
best: 94.6 (STCN)
Joint-task Self-supervised Learning for Temporal Correspondence arXiv:1909.11895
Video Object SegmentationonDAVIS 2017 (val)
J&F· 2019-09-26
59.5
best: 90.7 (SAM2)
Joint-task Self-supervised Learning for Temporal Correspondence arXiv:1909.11895
Video Object SegmentationonDAVIS 2017 (val)
Jaccard (Mean)· 2019-09-26
57.7
best: 87.5 (Cutie+ (base))
Joint-task Self-supervised Learning for Temporal Correspondence arXiv:1909.11895
Video Object SegmentationonDAVIS 2017 (val)
Jaccard (Recall)· 2019-09-26
68.3
best: 91.4 (ISVOS (MS))
Joint-task Self-supervised Learning for Temporal Correspondence arXiv:1909.11895
Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
F-measure (Mean)· 2019-09-26
61.3
best: 93.4 (Cutie+ (base))
Joint-task Self-supervised Learning for Temporal Correspondence arXiv:1909.11895
Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
F-measure (Recall)· 2019-09-26
69.8
best: 94.6 (STCN)
Joint-task Self-supervised Learning for Temporal Correspondence arXiv:1909.11895
Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
J&F· 2019-09-26
59.5
best: 90.7 (SAM2)
Joint-task Self-supervised Learning for Temporal Correspondence arXiv:1909.11895
Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
Jaccard (Mean)· 2019-09-26
57.7
best: 87.5 (Cutie+ (base))
Joint-task Self-supervised Learning for Temporal Correspondence arXiv:1909.11895
Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
Jaccard (Recall)· 2019-09-26
68.3
best: 91.4 (ISVOS (MS))
Joint-task Self-supervised Learning for Temporal Correspondence arXiv:1909.11895