RCF (without post-processing)

Reported on 4 benchmarks across 2 tasks · 1 paper

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

Computer Vision4 results

Instance SegmentationonSegTrack-v2
mIoU· 2023-04-17
76.7
best: 79.6 (RCF (with post-processing))
Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping arXiv:2304.08025
Instance SegmentationonFBMS-59
mIoU· 2023-04-17
69.9
best: 72.4 (RCF (with post-processing))
Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping arXiv:2304.08025
Unsupervised Object SegmentationonSegTrack-v2
mIoU· 2023-04-17
76.7
best: 79.6 (RCF (with post-processing))
Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping arXiv:2304.08025
Unsupervised Object SegmentationonFBMS-59
mIoU· 2023-04-17
69.9
best: 72.4 (RCF (with post-processing))
Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping arXiv:2304.08025