Dichotomous Image Segmentation On Dis Te2

评估指标

E-measure

HCE

MAE

S-Measure

max F-Measure

weighted F-measure

评测结果

各个模型在此基准测试上的表现结果

							Paper Title
PDFNet	0.947	-	0.028	0.924	0.921	0.885	Patch-Depth Fusion: Dichotomous Image Segmentation via Fine-Grained Patch Strategy and Depth Integrity-Prior
MVANet	0.944	251	0.030	0.915	0.916	0.874	Multi-view Aggregation Network for Dichotomous Image Segmentation
InSPyReNet (HR scale)	-	255	-	0.905	0.894	-	Revisiting Image Pyramid Structure for High Resolution Salient Object Detection
BiRefNet	0.935	265	0.035	0.904	0.898	0.863	Bilateral Reference for High-Resolution Dichotomous Image Segmentation
InSPyReNet	0.925	316	0.038	0.893	0.881	0.834	Revisiting Image Pyramid Structure for High Resolution Salient Object Detection
IS-Net	0.858	340	0.07	0.823	0.799	0.728	Highly Accurate Dichotomous Image Segmentation
HySM	0.832	451	0.085	0.794	0.759	0.667	HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation
U2Net	0.833	490	0.085	0.788	0.756	0.668	U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection
BASNet	0.836	480	0.084	0.786	0.755	0.668	BASNet: Boundary-Aware Salient Object Detection
HRNet	0.840	555	0.087	0.784	0.747	0.664	Deep High-Resolution Representation Learning for Visual Recognition
MBV3	0.856	600	0.083	0.777	0.743	0.672	Searching for MobileNetV3
PSPNet	0.828	586	0.092	0.763	0.724	0.636	Pyramid Scene Parsing Network
PFNet	0.829	567	0.096	0.761	0.720	0.633	Camouflaged Object Segmentation with Distraction Mining
ICNet	0.826	512	0.095	0.759	0.716	0.627	ICNet for Real-Time Semantic Segmentation on High-Resolution Images
STDC	0.834	556	0.092	0.759	0.720	0.636	Rethinking BiSeNet For Real-time Semantic Segmentation
F3Net	0.820	542	0.097	0.755	0.712	0.620	F3Net: Fusion, Feedback and Focus for Salient Object Detection
UNet	-	474	0.107	0.755	0.703	0.597	U-Net: Convolutional Networks for Biomedical Image Segmentation
SINetV2	0.823	593	0.099	0.753	0.700	0.618	Concealed Object Detection
BSV1	0.781	621	0.111	0.740	0.680	0.564	BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation
GateNet	0.804	501	0.102	0.737	0.702	0.598	Suppress and Balance: A Simple Gated Network for Salient Object Detection

0 of 22 row(s) selected.

Command Palette

Dichotomous Image Segmentation On Dis Te2

评估指标

评测结果

Command Palette

Dichotomous Image Segmentation On Dis Te2

评估指标

评测结果