Salient Object Detection on HKU-IS

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S-measure

Rank	Model	S-measure	E-measure	MAE	max_F1	Paper	Code	Year
1	SAM2-UNet	0.941	0.971	0.019	–	SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation	wzh0120/sam2-unet	2024
2	FOCUS	0.935	0.974	0.018	–	FOCUS: Towards Universal Foreground Segmentation	geshang777/FOCUS	2025
3	SelfReformer-Swin	0.934	0.961	0.023	0.952	SelfReformer: Self-Refined Network with Transformer for Salient Object Detection	BarCodeReader/SelfReformer	2022
4	EVPv1	0.931	0.961	0.024	0.952	Explicit Visual Prompting for Low-Level Structure Segmentations	nifangbaage/explicit-visual-prompt	2023
5	SelfReformer	0.930	0.959	0.024	0.947	SelfReformer: Self-Refined Network with Transformer for Salient Object Detection	BarCodeReader/SelfReformer	2022
6	LDF	0.919	0.953	0.027	0.939	Label Decoupling Framework for Salient Object Detection	weijun88/LDF	2020
7	RCSB	0.918	0.954	0.027	0.938	Recursive Contour Saliency Blending Network for Accurate Salient Object Detection	BarCodeReader/RCSB-PyTorch	2021
8	F3Net	0.917	0.952	0.028	0.936	F3Net: Fusion, Feedback and Focus for Salient Object Detection	weijun88/F3Net · PanoAsh/ASOD60K · PanoAsh/SHD360 · +1	2019
9	U2Net	–	–	0.031	–	U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection	xuebinqin/U-2-Net · NathanUA/U-2-Net · PaddlePaddle/PaddleSeg · +26	2020