RITM (HRNet18, C+L)

Reported on 3 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 Vision3 results

Interactive SegmentationonGrabCut
NoC@85· 2021-02-12
1.42
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
1.54
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
2.26
best: 5.6 (CM guidance)
Reviving Iterative Training with Mask Guidance for Interactive Segmentation arXiv:2102.06583