Salient Object Detection On Pascal S
평가 지표
F-measure
MAE
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | F-measure | MAE |
|---|---|---|
| a-simple-pooling-based-design-for-real-time | 0.88 | 0.065 |
| res2net-a-new-multi-scale-backbone | 0.841 | 0.099 |
| tracer-extreme-attention-guided-salient | 0.909 | 0.047 |
| a-bi-directional-message-passing-model-for | - | 0.074 |
| revisiting-image-pyramid-structure-for-high | 0.893 | 0.048 |
| c-4-net-contextual-compression-and | - | 0.055 |
| a-weakly-supervised-learning-framework-for | - | 0.076 |
| m-3-net-multilevel-mixed-and-multistage | - | 0.06 |
| basnet-boundary-aware-salient-object | - | 0.076 |
| cpdr-towards-highly-efficient-salient-object | - | 0.061 |
| cascaded-partial-decoder-for-fast-and | 0.824 | 0.072 |
| m-3-net-multilevel-mixed-and-multistage | - | 0.047 |
| saliency-detection-via-global-context | 0.891 | 0.039 |