Salient Object Detection On Hku Is
評価指標
MAE
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
比較表
| モデル名 | MAE |
|---|---|
| tracer-extreme-attention-guided-salient | 0.028 |
| cascaded-partial-decoder-for-fast-and | 0.034 |
| tracer-extreme-attention-guided-salient | 0.020 |
| m-3-net-multilevel-mixed-and-multistage | 0.019 |
| uncertainty-inspired-rgb-d-saliency-detection | 0.026 |
| a-simple-pooling-based-design-for-real-time | 0.03 |
| c-4-net-contextual-compression-and | 0.025 |
| res2net-a-new-multi-scale-backbone | 0.05 |
| basnet-boundary-aware-salient-object | 0.032 |
| uncertainty-inspired-rgb-d-saliency-detection | 0.027 |
| revisiting-image-pyramid-structure-for-high | 0.028 |
| cpdr-towards-highly-efficient-salient-object | 0.028 |
| m-3-net-multilevel-mixed-and-multistage | 0.026 |
| a-weakly-supervised-learning-framework-for | 0.038 |