Dichotomous Image Segmentation On Dis Te3

Metrics

E-measure

HCE

MAE

S-Measure

max F-Measure

weighted F-measure

Results

Performance results of various models on this benchmark

Model Name	E-measure	HCE	MAE	S-Measure	max F-Measure	weighted F-measure	Paper Title	Repository
HRNet	0.869	1049	0.080	0.805	0.784	0.700	Deep High-Resolution Representation Learning for Visual Recognition	-
F3Net	0.848	1059	0.092	0.773	0.743	0.656	F3Net: Fusion, Feedback and Focus for Salient Object Detection	-
PSPNet	0.843	1111	0.092	0.774	0.747	0.657	Pyramid Scene Parsing Network	-
GateNet	0.815	972	0.103	0.747	0.726	0.620	Suppress and Balance: A Simple Gated Network for Salient Object Detection	-
PFNet	0.854	1082	0.092	0.777	0.751	0.664	Camouflaged Object Segmentation with Distraction Mining	-
BiRefNet	0.952	573	0.030	0.918	0.923	0.891	Bilateral Reference for High-Resolution Dichotomous Image Segmentation	-
BSV1	0.801	1146	0.109	0.757	0.710	0.595	BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation	-
InSPyReNet (HR scale)	0.938	522	0.034	0.918	0.919	0.871	Revisiting Image Pyramid Structure for High Resolution Salient Object Detection	-
IS-Net	0.883	687	0.064	0.836	0.830	0.758	Highly Accurate Dichotomous Image Segmentation	-
ICNet	0.852	1001	0.091	0.780	0.752	0.664	ICNet for Real-Time Semantic Segmentation on High-Resolution Images	-
SINetV2	0.849	1096	0.096	0.766	0.730	0.641	Concealed Object Detection	-
MVANet	0.954	525	0.031	0.920	0.929	0.890	Multi-view Aggregation Network for Dichotomous Image Segmentation	-
U2Net	0.858	965	0.079	0.809	0.798	0.707	U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection	-
MBV3	0.880	1136	0.078	0.764	0.772	0.702	Searching for MobileNetV3	-
PDFNet	0.957	-	0.027	0.928	0.936	0.900	Patch-Depth Fusion: Dichotomous Image Segmentation via Fine-Grained Patch Strategy and Depth Integrity-Prior	-
DeeplabV3+	0.833	999	0.102	0.749	0.717	0.623	Rethinking Atrous Convolution for Semantic Image Segmentation	-
UNet	-	883	0.098	-	0.748	0.644	U-Net: Convolutional Networks for Biomedical Image Segmentation	-
InSPyReNet	0.938	582	0.038	0.902	0.904	0.856	Revisiting Image Pyramid Structure for High Resolution Salient Object Detection	-
GCPANet	0.801	1058	0.109	0.748	0.699	0.590	Global Context-Aware Progressive Aggregation Network for Salient Object Detection	-
HySM	0.857	887	0.079	0.811	0.792	0.701	HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation	-

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