Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/DEFFA-Unet

DEFFA-Unet

Reported on 40 benchmarks across 2 tasks · 1 paper · 23 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical40 results

Medical Image SegmentationonHRF
1:1 Accuracy· 2025-06-02
0.9723
SOTA
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation arXiv:2506.02312
Medical Image SegmentationonHRF
Average IOU· 2025-06-02
0.7089
SOTA
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation arXiv:2506.02312
Medical Image SegmentationonHRF
DSC· 2025-06-02
0.8289
SOTA
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation arXiv:2506.02312
Medical Image SegmentationonCHASE_DB1
1:1 Accuracy· 2025-06-02
0.9712
SOTA
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation arXiv:2506.02312
Medical Image SegmentationonCHASE_DB1
Average IOU· 2025-06-02
0.6891
SOTA
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation arXiv:2506.02312
Medical Image SegmentationonSTARE
1:1 Accuracy· 2025-06-02
0.9689
SOTA
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation arXiv:2506.02312
Medical Image SegmentationonSTARE
Average IOU· 2025-06-02
0.7012
SOTA
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation arXiv:2506.02312
Medical Image SegmentationonSTARE
DSC· 2025-06-02
0.8234
SOTA
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation arXiv:2506.02312
Medical Image SegmentationonDRIVE
1:1 Accuracy· 2025-06-02
0.9701
SOTA
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation arXiv:2506.02312
Medical Image SegmentationonDRIVE
Average IOU· 2025-06-02
0.7154
SOTA
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation arXiv:2506.02312
Medical Image SegmentationonDRIVE
DSC· 2025-06-02
0.8347
SOTA
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation arXiv:2506.02312
Retinal Vessel SegmentationonHRF
1:1 Accuracy· 2025-06-02
0.9723
SOTA
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation arXiv:2506.02312
Retinal Vessel SegmentationonHRF
Average IOU· 2025-06-02
0.7089
SOTA
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation arXiv:2506.02312
Retinal Vessel SegmentationonHRF
DSC· 2025-06-02
0.8289
SOTA
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation arXiv:2506.02312
Retinal Vessel SegmentationonCHASE_DB1
1:1 Accuracy· 2025-06-02
0.9712
SOTA
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation arXiv:2506.02312
Retinal Vessel SegmentationonCHASE_DB1
Average IOU· 2025-06-02
0.6891
SOTA
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation arXiv:2506.02312
Retinal Vessel SegmentationonCHASE_DB1
DSC· 2025-06-02
0.8156
SOTA
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation arXiv:2506.02312
Retinal Vessel SegmentationonSTARE
1:1 Accuracy· 2025-06-02
0.9689
SOTA
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation arXiv:2506.02312
Retinal Vessel SegmentationonSTARE
Average IOU· 2025-06-02
0.7012
SOTA
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation arXiv:2506.02312
Retinal Vessel SegmentationonSTARE
DSC· 2025-06-02
0.8234
SOTA
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation arXiv:2506.02312
Retinal Vessel SegmentationonDRIVE
1:1 Accuracy· 2025-06-02
0.9701
SOTA
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation arXiv:2506.02312
Retinal Vessel SegmentationonDRIVE
Average IOU· 2025-06-02
0.7154
SOTA
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation arXiv:2506.02312
Retinal Vessel SegmentationonDRIVE
DSC· 2025-06-02
0.8347
SOTA
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation arXiv:2506.02312
Medical Image SegmentationonHRF
AUC· 2025-06-02
0.9845
best: 0.9874 (FSG-Net)
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation arXiv:2506.02312
Medical Image SegmentationonHRF
MCC· 2025-06-02
0.8012
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation arXiv:2506.02312
Medical Image SegmentationonCHASE_DB1
AUC· 2025-06-02
0.9823
best: 0.9937 (FSG-Net)
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation arXiv:2506.02312
Medical Image SegmentationonCHASE_DB1
DSC· 2025-06-02
0.8156
best: 0.8267 (MERIT-GCASCADE)
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation arXiv:2506.02312
Medical Image SegmentationonCHASE_DB1
MCC· 2025-06-02
0.7892
best: 0.7989 (FSG-Net)
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation arXiv:2506.02312
Medical Image SegmentationonSTARE
AUC· 2025-06-02
0.9834
best: 0.9924 (DA-Net)
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation arXiv:2506.02312
Medical Image SegmentationonSTARE
MCC· 2025-06-02
0.7945
best: 0.8395 (FSG-Net)
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation arXiv:2506.02312
Medical Image SegmentationonDRIVE
AUC· 2025-06-02
0.9861
best: 0.9931 (Swin-Res-Net)
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation arXiv:2506.02312
Medical Image SegmentationonDRIVE
MCC· 2025-06-02
0.8079
best: 0.8173 (FSG-Net)
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation arXiv:2506.02312
Retinal Vessel SegmentationonHRF
AUC· 2025-06-02
0.9845
best: 0.9874 (FSG-Net)
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation arXiv:2506.02312
Retinal Vessel SegmentationonHRF
MCC· 2025-06-02
0.8012
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation arXiv:2506.02312
Retinal Vessel SegmentationonCHASE_DB1
AUC· 2025-06-02
0.9823
best: 0.9937 (FSG-Net)
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation arXiv:2506.02312
Retinal Vessel SegmentationonCHASE_DB1
MCC· 2025-06-02
0.7892
best: 0.7989 (FSG-Net)
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation arXiv:2506.02312
Retinal Vessel SegmentationonSTARE
AUC· 2025-06-02
0.9834
best: 0.9924 (DA-Net)
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation arXiv:2506.02312
Retinal Vessel SegmentationonSTARE
MCC· 2025-06-02
0.7945
best: 0.8395 (FSG-Net)
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation arXiv:2506.02312
Retinal Vessel SegmentationonDRIVE
AUC· 2025-06-02
0.9861
best: 0.9931 (Swin-Res-Net)
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation arXiv:2506.02312
Retinal Vessel SegmentationonDRIVE
MCC· 2025-06-02
0.8079
best: 0.8173 (FSG-Net)
Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation arXiv:2506.02312