BASNet: Boundary-Aware Salient Object Detection

Benchmark Model Rank Results
camouflaged-object-segmentation-on-camoBASNet#12S-Measure: 0.618Weighted F-Measure: 0.413MAE: 0.159
camouflaged-object-segmentation-on-codBASNet#11S-Measure: 0.685Weighted F-Measure: 0.352MAE: 0.092
camouflaged-object-segmentation-on-pcod-1200BASNet#13S-Measure: 0.837
dichotomous-image-segmentation-on-dis-te1BASNet#9max F-Measure: 0.688weighted F-measure: 0.595MAE: 0.084
dichotomous-image-segmentation-on-dis-te2BASNet#9max F-Measure: 0.755weighted F-measure: 0.668MAE: 0.084
dichotomous-image-segmentation-on-dis-te3BASNet#9max F-Measure: 0.785weighted F-measure: 0.696MAE: 0.083
dichotomous-image-segmentation-on-dis-te4BASNet#9max F-Measure: 0.780weighted F-measure: 0.693MAE: 0.091
dichotomous-image-segmentation-on-dis-vdBASNet#11max F-Measure: 0.731weighted F-measure: 0.641MAE: 0.094
salient-object-detection-on-dut-omronBASNet#16MAE: 0.056
salient-object-detection-on-duts-teBASNet#12S-Measure: 0.876mean E-Measure: 0.896MAE: 0.047
salient-object-detection-on-ecssdBASNet#11MAE: 0.037
salient-object-detection-on-hku-isBASNet#12MAE: 0.032
salient-object-detection-on-pascal-sBASNet#9MAE: 0.076
salient-object-detection-on-socBASNet#3Average MAE: 0.092S-Measure: 0.841mean E-Measure: 0.864