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SOTA
Salient Object Detection
Rgb Salient Object Detection On Uhrsd
Rgb Salient Object Detection On Uhrsd
評価指標
MAE
S-Measure
mBA
max F-Measure
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
Columns
モデル名
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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