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SOTA
RGB Salient Object Detection
Rgb Salient Object Detection On Uhrsd
Rgb Salient Object Detection On Uhrsd
Metrics
MAE
S-Measure
mBA
max F-Measure
Results
Performance results of various models on this benchmark
Columns
Model Name
MAE
S-Measure
mBA
max F-Measure
Paper Title
Repository
InSPyReNet (HRSOD, UHRSD)
0.020
0.953
0.812
0.957
Revisiting Image Pyramid Structure for High Resolution Salient Object Detection
-
BiRefNet (HRSOD, UHRSD)
0.019
0.952
-
0.958
Bilateral Reference for High-Resolution Dichotomous Image Segmentation
-
PDFNet (HRSOD, UHRSD)
0.019
0.953
-
0.963
Patch-Depth Fusion: Dichotomous Image Segmentation via Fine-Grained Patch Strategy and Depth Integrity-Prior
-
PGNet (DUTS, HRSOD)
0.036
0.912
0.735
0.915
Pyramid Grafting Network for One-Stage High Resolution Saliency Detection
-
BiRefNet (DUTS, UHRSD)
0.019
0.952
-
0.960
Bilateral Reference for High-Resolution Dichotomous Image Segmentation
-
InSPyReNet (DUTS, HRSOD)
-
0.936
0.785
-
Revisiting Image Pyramid Structure for High Resolution Salient Object Detection
-
InSPyReNet
0.029
0.932
0.741
0.938
Revisiting Image Pyramid Structure for High Resolution Salient Object Detection
-
PGNet (HRSOD, UHRSD)
0.026
0.935
0.765
0.930
Pyramid Grafting Network for One-Stage High Resolution Saliency Detection
-
BiRefNet (DUTS, HRSOD)
0.024
0.937
-
0.942
Bilateral Reference for High-Resolution Dichotomous Image Segmentation
-
BiRefNet (DUTS, HRSOD, UHRSD)
0.016
0.957
-
0.963
Bilateral Reference for High-Resolution Dichotomous Image Segmentation
-
BiRefNet (DUTS)
0.030
0.931
-
0.933
Bilateral Reference for High-Resolution Dichotomous Image Segmentation
-
PGNet
0.037
0.912
0.715
0.914
Pyramid Grafting Network for One-Stage High Resolution Saliency Detection
-
0 of 12 row(s) selected.
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