f-BRS-B (ResNet-101)

Reported on 4 benchmarks across 1 task · 1 paper

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

Computer Vision4 results

Interactive SegmentationonDAVIS
NoC@85· 2020-01-28
5.04
best: 12.52 (DOS w/o GC)
f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation arXiv:2001.10331
Interactive SegmentationonDAVIS
NoC@90· 2020-01-28
7.41
best: 17.11 (DOS w/o GC)
f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation arXiv:2001.10331
Interactive SegmentationonSBD
NoC@85· 2020-01-28
4.81
best: 14.3 (DOS w/o GC)
f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation arXiv:2001.10331
Interactive SegmentationonSBD
NoC@90· 2020-01-28
7.73
best: 16.79 (DOS w/o GC)
f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation arXiv:2001.10331