Co Salient Object Detection On Cosal2015
평가 지표
MAE
S-measure
max E-measure
max F-measure
mean E-measure
mean F-measure
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | MAE | S-measure | max E-measure | max F-measure | mean E-measure | mean F-measure |
|---|---|---|---|---|---|---|
| gradient-induced-co-saliency-detection | 0.071 | 0.844 | 0.887 | 0.844 | 0.883 | 0.835 |
| democracy-does-matter-comprehensive-feature | 0.067 | 0.838 | 0.893 | 0.856 | 0.889 | 0.850 |
| gconet-a-stronger-group-collaborative-co | 0.0563 | 0.881 | 0.924 | 0.891 | 0.902 | 0.870 |
| group-collaborative-learning-for-co-salient | 0.068 | 0.845 | 0.888 | 0.847 | 0.884 | 0.838 |
| discriminative-co-saliency-and-background | 0.045 | 0.897 | 0.936 | 0.905 | 0.922 | 0.883 |
| taking-a-deeper-look-at-co-salient-object | 0.077 | 0.836 | 0.882 | 0.832 | 0.867 | 0.827 |
| co-saliency-detection-via-mask-guided-fully | 0.130 | 0.774 | 0.842 | 0.784 | - | - |
| a-unified-transformer-framework-for-group | 0.064 | 0.860 | 0.906 | 0.865 | 0.889 | 0.848 |
| summarize-and-search-learning-consensus-aware | 0.064 | 0.866 | 0.906 | 0.864 | 0.874 | 0.825 |
| egnet-edge-guidance-network-for-salient | 0.099 | 0.818 | 0.843 | 0.786 | - | - |