Salient Object Detection On Ecssd 1
평가 지표
E-measure
MAE
S-measure
max_F1
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | E-measure | MAE | S-measure | max_F1 |
|---|---|---|---|---|
| explicit-visual-prompting-for-low-level | 0.957 | 0.027 | 0.935 | 0.960 |
| label-decoupling-framework-for-salient-object-1 | 0.924 | 0.033 | 0.924 | 0.950 |
| explicit-visual-prompting-for-universal | 0.957 | 0.028 | 0.935 | 0.958 |
| selfreformer-self-refined-network-with | 0.935 | 0.025 | 0.941 | 0.963 |
| recursive-contour-saliency-blending-network | 0.923 | 0.033 | 0.921 | 0.945 |
| selfreformer-self-refined-network-with | 0.928 | 0.027 | 0.935 | 0.957 |
| sam2-unet-segment-anything-2-makes-strong | 0.970 | 0.020 | 0.950 | - |
| u-2-net-going-deeper-with-nested-u-structure | - | 0.041 | 0.918 | 0.885 |
| f3net-fusion-feedback-and-focus-for-salient | 0.927 | 0.033 | 0.924 | 0.945 |