F3Net: Fusion, Feedback and Focus for Salient Object Detection

Benchmark Model Rank Results
camouflaged-object-segmentation-on-pcod-1200F3Net#7S-Measure: 0.885
dichotomous-image-segmentation-on-dis-te1F3Net#16max F-Measure: 0.640weighted F-measure: 0.549MAE: 0.095
dichotomous-image-segmentation-on-dis-te2F3Net#16max F-Measure: 0.712weighted F-measure: 0.620MAE: 0.097
dichotomous-image-segmentation-on-dis-te3F3Net#17max F-Measure: 0.743weighted F-measure: 0.656MAE: 0.092
dichotomous-image-segmentation-on-dis-te4F3Net#18max F-Measure: 0.721weighted F-measure: 0.633MAE: 0.107
dichotomous-image-segmentation-on-dis-vdF3Net#19max F-Measure: 0.685weighted F-measure: 0.595MAE: 0.107
salient-object-detection-on-dut-omron-2F3Net#6S-measure: 0.838E-measure: 0.869MAE: 0.052max_F1: 0.813
salient-object-detection-on-duts-te-1F3Net#7Smeasure: 0.888E-measure: 0.901MAE: 0.035max_F1: 0.891
salient-object-detection-on-ecssd-1F3Net#7S-measure: 0.924E-measure: 0.927MAE: 0.033max_F1: 0.945
salient-object-detection-on-hku-is-1F3Net#8S-measure: 0.917E-measure: 0.952MAE: 0.028max_F1: 0.936
salient-object-detection-on-pascal-s-1F3Net#8S-measure: 0.854E-measure: 0.858MAE: 0.061max_F1: 0.871