Salient Object Detection On Duts Te 1
評価指標
E-measure
MAE
Smeasure
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 | E-measure | MAE | Smeasure |
---|---|---|---|
sam2-unet-segment-anything-2-makes-strong | 0.959 | 0.020 | 0.934 |
f3net-fusion-feedback-and-focus-for-salient | 0.901 | 0.035 | 0.888 |
label-decoupling-framework-for-salient-object-1 | 0.909 | 0.034 | 0.892 |
selfreformer-self-refined-network-with | 0.920 | 0.026 | 0.911 |
recursive-contour-saliency-blending-network | 0.903 | 0.034 | 0.878 |
selfreformer-self-refined-network-with | 0.924 | 0.024 | 0.921 |
explicit-visual-prompting-for-universal | 0.948 | 0.027 | 0.915 |