Retinal Vessel Segmentation on DRIVE

Metric: F1 score (higher is better)

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#	Model↕	F1 score▼	Extra Data	Paper	Date↕	Code
1	FSG-Net	0.8322	No	Full-scale Representation Guided Network for Ret...	2025-01-31	Code
2	FR-UNet	0.8316	No	-	-	Code
3	Study Group Learning	0.8316	No	Study Group Learning: Improving Retinal Vessel S...	2021-03-05	Code
4	MERIT-GCASCADE	0.829	No	G-CASCADE: Efficient Cascaded Graph Convolutiona...	2023-10-24	Code
5	SA-UNet	0.8263	No	SA-UNet: Spatial Attention U-Net for Retinal Ves...	2020-04-07	Code
6	VGN	0.8263	No	Deep Vessel Segmentation By Learning Graphical C...	2018-06-06	Code
7	ConvMixer	0.8245	No	-	-	Code
8	DUNet	0.8237	No	DUNet: A deformable network for retinal vessel s...	2018-11-03	-
9	BCDU-Net (d=3)	0.8224	No	Bi-Directional ConvLSTM U-Net with Densley Conne...	2019-08-31	Code
10	ConvMixer-Light	0.8215	No	-	-	Code
11	PVT-GCASCADE	0.821	No	G-CASCADE: Efficient Cascaded Graph Convolutiona...	2023-10-24	Code
12	IterNet	0.8205	No	IterNet: Retinal Image Segmentation Utilizing St...	2019-12-12	Code
13	LadderNet	0.8202	No	LadderNet: Multi-path networks based on U-Net fo...	2018-10-17	Code
14	DA-Net	0.8193	No	DA-Net: A Disentangled and Adaptive Network for ...	2024-03-07	-
15	Residual U-Net	0.8149	No	Road Extraction by Deep Residual U-Net	2017-11-29	Code
16	U-Net	0.8142	No	U-Net: Convolutional Networks for Biomedical Ima...	2015-05-18	Code
17	DR_2021	0.75	No	Segmentation of Blood Vessels, Optic Disc Locali...	2022-07-09	Code