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Saliency Detection on LFSD (F and M metrics)

83.5F-MeasureUCNet
66.44470.87275.379.728Apr 28, 2022

Evaluation results

MethodLinks
UCNetSupervision Type=Fully supervised, Input Modality=RGB-D2022.0483.50.108
DLLFSupervision Type=Fully supervised, Input Modality=Light field2022.0481.90.089
TANetSupervision Type=Fully supervised, Input Modality=RGB2022.0480.40.112
SNLSupervision Type=Single noisy label, Input Modality=RGB2022.0480.40.111
NoiseLFSupervision Type=Single noisy label, Input Modality=Light field2022.0480.40.111
PCASupervision Type=Fully supervised, Input Modality=RGB2022.0480.10.112
MMCISupervision Type=Fully supervised, Input Modality=RGB2022.0479.60.128
SBFSupervision Type=Multi noisy labels, Input Modality=RGB2022.0479.50.105
R3NetSupervision Type=Fully supervised, Input Modality=RGB2022.0478.10.128
PoolNetSupervision Type=Fully supervised, Input Modality=RGB2022.0476.90.118
NLDFSupervision Type=Fully supervised, Input Modality=RGB2022.0474.80.138
RBDSupervision Type=Conventional, Input Modality=RGB2022.0471.50.147
DUSPSSupervision Type=Multi noisy labels, Input Modality=RGB2022.0471.40.097
Mo-LFSupervision Type=Fully supervised, Input Modality=Light field2022.0471.10.182
PiCANetSupervision Type=Fully supervised, Input Modality=RGB2022.0467.10.158