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Models/ResUNet++

ResUNet++

Reported on 16 benchmarks across 3 tasks · 1 paper · 14 SOTA

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

Medical14 results

Medical Image SegmentationonETIS-LARIBPOLYPDB
mIoU· 2019-11-16
0.7534
best: 0.9179 (RAPUNet)
SOTA
ResUNet++: An Advanced Architecture for Medical Image Segmentation arXiv:1911.07067
Medical Image SegmentationonETIS-LARIBPOLYPDB
mean Dice· 2019-11-16
0.6364
best: 0.9572 (RAPUNet)
SOTA
ResUNet++: An Advanced Architecture for Medical Image Segmentation arXiv:1911.07067
Medical Image SegmentationonCVC-VideoClinicDB
Dice· 2019-11-16
0.8798
best: 0.926 (Meta-Polyp)
SOTA
ResUNet++: An Advanced Architecture for Medical Image Segmentation arXiv:1911.07067
Medical Image SegmentationonCVC-VideoClinicDB
Recall· 2019-11-16
0.7749
SOTA
ResUNet++: An Advanced Architecture for Medical Image Segmentation arXiv:1911.07067
Medical Image SegmentationonCVC-VideoClinicDB
mIoU· 2019-11-16
0.873
best: 0.8739 (ResUNet++ + CRF)
SOTA
ResUNet++: An Advanced Architecture for Medical Image Segmentation arXiv:1911.07067
Medical Image SegmentationonCVC-VideoClinicDB
precision· 2019-11-16
0.6702
best: 0.6706 (ResUNet++ + CRF)
SOTA
ResUNet++: An Advanced Architecture for Medical Image Segmentation arXiv:1911.07067
Medical Image SegmentationonASU-Mayo Clinic dataset
DSC· 2019-11-16
0.8743
SOTA
ResUNet++: An Advanced Architecture for Medical Image Segmentation arXiv:1911.07067
Medical Image SegmentationonASU-Mayo Clinic dataset
Precision· 2019-11-16
0.4896
SOTA
ResUNet++: An Advanced Architecture for Medical Image Segmentation arXiv:1911.07067
Medical Image SegmentationonASU-Mayo Clinic dataset
Recall· 2019-11-16
0.6534
SOTA
ResUNet++: An Advanced Architecture for Medical Image Segmentation arXiv:1911.07067
Medical Image SegmentationonASU-Mayo Clinic dataset
mIoU· 2019-11-16
0.8569
SOTA
ResUNet++: An Advanced Architecture for Medical Image Segmentation arXiv:1911.07067
Semantic SegmentationonKvasir-SEG
mDice· 2019-11-16
0.8133
best: 0.9258 (PVT-CASCADE)
SOTA
ResUNet++: An Advanced Architecture for Medical Image Segmentation arXiv:1911.07067
Semantic SegmentationonKvasir-SEG
mIoU· 2019-11-16
0.7927
best: 0.891 (SSFormer-S + PRN)
SOTA
ResUNet++: An Advanced Architecture for Medical Image Segmentation arXiv:1911.07067
Medical Image SegmentationonKvasir-SEG
mean Dice· 2019-11-16
0.8133
best: 0.9502 (DUCK-Net)
ResUNet++: An Advanced Architecture for Medical Image Segmentation arXiv:1911.07067
Medical Image SegmentationonCVC-ClinicDB
mean Dice· 2019-11-16
0.7955
best: 0.9684 (DUCK-Net)
ResUNet++: An Advanced Architecture for Medical Image Segmentation arXiv:1911.07067

Audio2 results

10-shot image generationonKvasir-SEG
mDice· 2019-11-16
0.8133
best: 0.9258 (PVT-CASCADE)
SOTA
ResUNet++: An Advanced Architecture for Medical Image Segmentation arXiv:1911.07067
10-shot image generationonKvasir-SEG
mIoU· 2019-11-16
0.7927
best: 0.891 (SSFormer-S + PRN)
SOTA
ResUNet++: An Advanced Architecture for Medical Image Segmentation arXiv:1911.07067