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Models/CMWNet

CMWNet

Reported on 10 benchmarks across 5 tasks · 1 paper

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

Methodology8 results

3DonNJU2K
Average MAE· 2020-07-09
0.046
best: 0.023 (DFormer-L)
Cross-Modal Weighting Network for RGB-D Salient Object Detection arXiv:2007.04901
3DonNJU2K
S-Measure· 2020-07-09
90.3
best: 93.7 (DFormer-L)
Cross-Modal Weighting Network for RGB-D Salient Object Detection arXiv:2007.04901
2D ClassificationonNJU2K
Average MAE· 2020-07-09
0.046
best: 0.023 (DFormer-L)
Cross-Modal Weighting Network for RGB-D Salient Object Detection arXiv:2007.04901
2D ClassificationonNJU2K
S-Measure· 2020-07-09
90.3
best: 93.7 (DFormer-L)
Cross-Modal Weighting Network for RGB-D Salient Object Detection arXiv:2007.04901
2D Object DetectiononNJU2K
Average MAE· 2020-07-09
0.046
best: 0.023 (DFormer-L)
Cross-Modal Weighting Network for RGB-D Salient Object Detection arXiv:2007.04901
2D Object DetectiononNJU2K
S-Measure· 2020-07-09
90.3
best: 93.7 (DFormer-L)
Cross-Modal Weighting Network for RGB-D Salient Object Detection arXiv:2007.04901
16konNJU2K
Average MAE· 2020-07-09
0.046
best: 0.023 (DFormer-L)
Cross-Modal Weighting Network for RGB-D Salient Object Detection arXiv:2007.04901
16konNJU2K
S-Measure· 2020-07-09
90.3
best: 93.7 (DFormer-L)
Cross-Modal Weighting Network for RGB-D Salient Object Detection arXiv:2007.04901

Computer Vision2 results

Object DetectiononNJU2K
Average MAE· 2020-07-09
0.046
best: 0.023 (DFormer-L)
Cross-Modal Weighting Network for RGB-D Salient Object Detection arXiv:2007.04901
Object DetectiononNJU2K
S-Measure· 2020-07-09
90.3
best: 93.7 (DFormer-L)
Cross-Modal Weighting Network for RGB-D Salient Object Detection arXiv:2007.04901