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Models/UNet++

UNet++

Reported on 24 benchmarks across 8 tasks · 3 papers · 22 SOTA

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

Medical17 results

Medical Image SegmentationonEM
IoU· 2019-12-11
89.33
SOTA
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation arXiv:1912.05074
Medical Image SegmentationonCell
IoU· 2019-12-11
91.21
SOTA
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation arXiv:1912.05074
Medical Image SegmentationonBrain Tumor
IoU· 2019-12-11
91.21
SOTA
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation arXiv:1912.05074
Medical Image SegmentationonSUN-SEG-Easy (Unseen)
Sensitivity· 2018-07-18
0.457
best: 83.7 (YOLO-SAM 2)
SOTA
UNet++: A Nested U-Net Architecture for Medical Image Segmentation arXiv:1807.10165
Medical Image SegmentationonSUN-SEG-Hard
Dice· 2018-07-18
0.554
best: 0.876 (LGRNet)
SOTA
UNet++: A Nested U-Net Architecture for Medical Image Segmentation arXiv:1807.10165
Medical Image SegmentationonSUN-SEG-Hard
S-Measure· 2018-07-18
0.685
SOTA
UNet++: A Nested U-Net Architecture for Medical Image Segmentation arXiv:1807.10165
Medical Image SegmentationonSUN-SEG-Hard
mean E-measure· 2018-07-18
0.697
SOTA
UNet++: A Nested U-Net Architecture for Medical Image Segmentation arXiv:1807.10165
Medical Image SegmentationonSUN-SEG-Hard
mean F-measure· 2018-07-18
0.544
SOTA
UNet++: A Nested U-Net Architecture for Medical Image Segmentation arXiv:1807.10165
Medical Image SegmentationonSUN-SEG-Hard
weighted F-measure· 2018-07-18
0.48
SOTA
UNet++: A Nested U-Net Architecture for Medical Image Segmentation arXiv:1807.10165
Medical Image SegmentationonSUN-SEG-Hard (Unseen)
Sensitivity· 2018-07-18
0.467
best: 0.852 (YOLO-SAM 2)
SOTA
UNet++: A Nested U-Net Architecture for Medical Image Segmentation arXiv:1807.10165
Medical Image SegmentationonSUN-SEG-Easy
Dice· 2018-07-18
0.559
best: 0.875 (LGRNet)
SOTA
UNet++: A Nested U-Net Architecture for Medical Image Segmentation arXiv:1807.10165
Medical Image SegmentationonSUN-SEG-Easy
S measure· 2018-07-18
0.684
SOTA
UNet++: A Nested U-Net Architecture for Medical Image Segmentation arXiv:1807.10165
Medical Image SegmentationonSUN-SEG-Easy
mean E-measure· 2018-07-18
0.687
SOTA
UNet++: A Nested U-Net Architecture for Medical Image Segmentation arXiv:1807.10165
Medical Image SegmentationonSUN-SEG-Easy
mean F-measure· 2018-07-18
0.553
SOTA
UNet++: A Nested U-Net Architecture for Medical Image Segmentation arXiv:1807.10165
Medical Image SegmentationonSUN-SEG-Easy
weighted F-measure· 2018-07-18
0.491
SOTA
UNet++: A Nested U-Net Architecture for Medical Image Segmentation arXiv:1807.10165
Medical Image SegmentationonMoNuSeg
F1· 2022-06-29
77.01
best: 84.6 (Stardist)
LViT: Language meets Vision Transformer in Medical Image Segmentation arXiv:2206.14718
Medical Image SegmentationonMoNuSeg
IoU· 2022-06-29
63.04
best: 73.06 (ReN-UNet)
LViT: Language meets Vision Transformer in Medical Image Segmentation arXiv:2206.14718

Methodology4 results

3DonPCOD_1200
S-Measure· 2018-07-18
0.801
best: 0.922 (CMX)
SOTA
UNet++: A Nested U-Net Architecture for Medical Image Segmentation arXiv:1807.10165
2D ClassificationonPCOD_1200
S-Measure· 2018-07-18
0.801
best: 0.922 (CMX)
SOTA
UNet++: A Nested U-Net Architecture for Medical Image Segmentation arXiv:1807.10165
2D Object DetectiononPCOD_1200
S-Measure· 2018-07-18
0.801
best: 0.922 (CMX)
SOTA
UNet++: A Nested U-Net Architecture for Medical Image Segmentation arXiv:1807.10165
16konPCOD_1200
S-Measure· 2018-07-18
0.801
best: 0.922 (CMX)
SOTA
UNet++: A Nested U-Net Architecture for Medical Image Segmentation arXiv:1807.10165

Computer Vision3 results

Object DetectiononPCOD_1200
S-Measure· 2018-07-18
0.801
best: 0.922 (CMX)
SOTA
UNet++: A Nested U-Net Architecture for Medical Image Segmentation arXiv:1807.10165
Camouflaged Object SegmentationonPCOD_1200
S-Measure· 2018-07-18
0.801
best: 0.922 (CMX)
SOTA
UNet++: A Nested U-Net Architecture for Medical Image Segmentation arXiv:1807.10165
Object SegmentationonPCOD_1200
S-Measure· 2018-07-18
0.801
best: 0.922 (CMX)
SOTA
UNet++: A Nested U-Net Architecture for Medical Image Segmentation arXiv:1807.10165