Dichotomous Image Segmentation On Dis Te1

평가 지표

E-measure

HCE

MAE

S-Measure

max F-Measure

weighted F-measure

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	E-measure	HCE	MAE	S-Measure	max F-Measure	weighted F-measure	Paper Title
SINetV2	0.791	274	0.094	0.727	0.644	0.558	Concealed Object Detection
ICNet	0.784	234	0.095	0.716	0.631	0.535	ICNet for Real-Time Semantic Segmentation on High-Resolution Images
PFNet	0.786	253	0.094	0.722	0.646	0.552	Camouflaged Object Segmentation with Distraction Mining
PDFNet	0.927	-	0.031	0.899	0.890	0.846	Patch-Depth Fusion: Dichotomous Image Segmentation via Fine-Grained Patch Strategy and Depth Integrity-Prior
HySM	0.803	205	0.082	0.761	0.695	0.597	HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation
STDC	0.798	249	0.090	0.723	0.648	0.562	Rethinking BiSeNet For Real-time Semantic Segmentation
UNet	0.750	233	0.106	0.716	0.625	0.514	U-Net: Convolutional Networks for Biomedical Image Segmentation
BSV1	0.741	288	0.108	0.695	0.595	0.474	BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation
GateNet	0.766	230	0.099	0.701	0.620	0.517	Suppress and Balance: A Simple Gated Network for Salient Object Detection
HRNet	0.797	262	0.088	0.742	0.668	0.579	Deep High-Resolution Representation Learning for Visual Recognition
DeeplabV3+	0.772	234	0.102	0.694	0.601	0.506	Rethinking Atrous Convolution for Semantic Image Segmentation
MBV3	0.818	274	0.083	0.740	0.669	0.595	Searching for MobileNetV3
F3Net	0.783	244	0.095	0.721	0.640	0.549	F3Net: Fusion, Feedback and Focus for Salient Object Detection
InSPyReNet (HR scale)	0.894	110	0.045	0.873	0.845	0.788	Revisiting Image Pyramid Structure for High Resolution Salient Object Detection
PSPNet	0.791	267	0.089	0.725	0.645	0.557	Pyramid Scene Parsing Network
IS-Net	0.820	149	0.074	0.787	0.740	0.662	Highly Accurate Dichotomous Image Segmentation
U2Net	0.801	224	0.083	0.760	0.694	0.601	U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection
MVANet	0.911	104	0.037	0.879	0.873	0.823	Multi-view Aggregation Network for Dichotomous Image Segmentation
InSPyReNet	-	148	-	0.862	0.834	-	Revisiting Image Pyramid Structure for High Resolution Salient Object Detection
BiRefNet	0.908	106	0.038	0.882	0.855	0.814	Bilateral Reference for High-Resolution Dichotomous Image Segmentation

0 of 22 row(s) selected.