U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection

Benchmark Model Rank Results
dichotomous-image-segmentation-on-dis-te1U2Net#8max F-Measure: 0.694weighted F-measure: 0.601MAE: 0.083
dichotomous-image-segmentation-on-dis-te2U2Net#8max F-Measure: 0.756weighted F-measure: 0.668MAE: 0.085
dichotomous-image-segmentation-on-dis-te3U2Net#7max F-Measure: 0.798weighted F-measure: 0.707MAE: 0.079
dichotomous-image-segmentation-on-dis-te4U2Net#7max F-Measure: 0.795weighted F-measure: 0.705MAE: 0.087
dichotomous-image-segmentation-on-dis-vdU2Net#9max F-Measure: 0.748weighted F-measure: 0.656MAE: 0.090
salient-object-detection-on-ecssd-1F3Net#10S-measure: 0.918MAE: 0.041max_F1: 0.885
salient-object-detection-on-hku-is-1U2Net#9MAE: 0.031
salient-object-detection-on-pascal-s-1F3Net#10S-measure: 0.831MAE: 0.086max_F1: 0.768