Salient Object Detection On Ecssd
Metrics
MAE
mean E-Measure
mean F-Measure
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | MAE | mean E-Measure | mean F-Measure |
|---|---|---|---|
| cpdr-towards-highly-efficient-salient-object | 0.033 | 0.951 | 0.921 |
| tracer-extreme-attention-guided-salient | 0.026 | - | 0.940 |
| c-4-net-contextual-compression-and | 0.029 | 0.957 | 0.939 |
| basnet-boundary-aware-salient-object | 0.037 | - | - |
| res2net-a-new-multi-scale-backbone | 0.056 | - | - |
| tracer-extreme-attention-guided-salient | 0.033 | - | - |
| m-3-net-multilevel-mixed-and-multistage | 0.029 | - | - |
| a-simple-pooling-based-design-for-real-time | 0.038 | - | - |
| cascaded-partial-decoder-for-fast-and | 0.037 | - | - |
| m-3-net-multilevel-mixed-and-multistage | 0.021 | - | - |
| saliency-detection-via-global-context | 0.033 | - | - |
| revisiting-image-pyramid-structure-for-high | 0.031 | - | - |
| a-weakly-supervised-learning-framework-for | 0.051 | - | - |
| uncertainty-inspired-rgb-d-saliency-detection | 0.035 | - | - |