Patch-Depth Fusion: Dichotomous Image Segmentation via Fine-Grained Patch Strategy and Depth Integrity-Prior

Benchmark Model Rank Results
dichotomous-image-segmentation-on-dis-te1PDFNet#1max F-Measure: 0.890weighted F-measure: 0.846MAE: 0.031
dichotomous-image-segmentation-on-dis-te2PDFNet#1max F-Measure: 0.921weighted F-measure: 0.885MAE: 0.028
dichotomous-image-segmentation-on-dis-te3PDFNet#1max F-Measure: 0.936weighted F-measure: 0.900MAE: 0.027
dichotomous-image-segmentation-on-dis-te4PDFNet#2max F-Measure: 0.911weighted F-measure: 0.867MAE: 0.037
dichotomous-image-segmentation-on-dis-vdPDFNet#3max F-Measure: 0.913weighted F-measure: 0.873MAE: 0.030
rgb-salient-object-detection-on-hrsodPDFNet (HRSOD,UHRSD)#1S-Measure: 0.963max F-Measure: 0.965MAE: 0.012
rgb-salient-object-detection-on-uhrsdPDFNet (HRSOD, UHRSD)#3S-Measure: 0.953max F-Measure: 0.963MAE: 0.019