Salient Object Detection On Dut Omron
평가 지표
MAE
S-Measure
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | MAE | S-Measure |
|---|---|---|
| uncertainty-inspired-rgb-d-saliency-detection | 0.050 | 0.843 |
| tracer-extreme-attention-guided-salient | 0.045 | 0.855 |
| bilateral-reference-for-high-resolution | 0.040 | 0.864 |
| cpdr-towards-highly-efficient-salient-object | 0.048 | - |
| bilateral-reference-for-high-resolution | 0.036 | 0.881 |
| tracer-extreme-attention-guided-salient | 0.050 | - |
| revisiting-image-pyramid-structure-for-high | 0.045 | 0.875 |
| res2net-a-new-multi-scale-backbone | 0.071 | - |
| bilateral-reference-for-high-resolution | 0.040 | 0.868 |
| m-3-net-multilevel-mixed-and-multistage | 0.061 | 0.848 |
| bilateral-reference-for-high-resolution | 0.038 | 0.882 |
| cascaded-partial-decoder-for-fast-and | 0.056 | - |
| uncertainty-inspired-rgb-d-saliency-detection | 0.051 | 0.839 |
| c-4-net-contextual-compression-and | 0.047 | - |
| bilateral-reference-for-high-resolution | 0.040 | 0.868 |
| a-simple-pooling-based-design-for-real-time | 0.053 | - |
| m-3-net-multilevel-mixed-and-multistage | 0.045 | 0.872 |
| basnet-boundary-aware-salient-object | 0.056 | - |