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Models/RITM (HRNet18, SBD)

RITM (HRNet18, SBD)

Reported on 7 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 Vision7 results

Interactive SegmentationonGrabCut
NoC@85· 2021-02-12
1.76
best: 8.02 (DOS w/o GC)
Reviving Iterative Training with Mask Guidance for Interactive Segmentation arXiv:2102.06583
Interactive SegmentationonGrabCut
NoC@90· 2021-02-12
2.04
best: 12.59 (DOS w/o GC)
Reviving Iterative Training with Mask Guidance for Interactive Segmentation arXiv:2102.06583
Interactive SegmentationonBerkeley
NoC@90· 2021-02-12
3.22
best: 5.6 (CM guidance)
Reviving Iterative Training with Mask Guidance for Interactive Segmentation arXiv:2102.06583
Interactive SegmentationonDAVIS
NoC@85· 2021-02-12
4.36
best: 12.52 (DOS w/o GC)
Reviving Iterative Training with Mask Guidance for Interactive Segmentation arXiv:2102.06583
Interactive SegmentationonDAVIS
NoC@90· 2021-02-12
5.74
best: 17.11 (DOS w/o GC)
Reviving Iterative Training with Mask Guidance for Interactive Segmentation arXiv:2102.06583
Interactive SegmentationonSBD
NoC@85· 2021-02-12
3.39
best: 14.3 (DOS w/o GC)
Reviving Iterative Training with Mask Guidance for Interactive Segmentation arXiv:2102.06583
Interactive SegmentationonSBD
NoC@90· 2021-02-12
5.43
best: 16.79 (DOS w/o GC)
Reviving Iterative Training with Mask Guidance for Interactive Segmentation arXiv:2102.06583