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Models/MobileUNETR

MobileUNETR

Reported on 9 benchmarks across 3 tasks · 1 paper · 6 SOTA

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

Medical7 results

Medical Image SegmentationonISIC2018
Accuracy· 2024-09-04
94.4
SOTA
MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image Segmentation arXiv:2409.03062
Medical Image SegmentationonISIC2018
mean Dice· 2024-09-04
90.74
SOTA
MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image Segmentation arXiv:2409.03062
Semantic SegmentationonPH2
Average Dice· 2024-09-04
95.7
SOTA
MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image Segmentation arXiv:2409.03062
Semantic SegmentationonPH2
Average IOU· 2024-09-04
92.3
SOTA
MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image Segmentation arXiv:2409.03062
Medical Image SegmentationonPH2
Dice Score· 2024-09-04
0.957
best: 0.9712 (IARS SegNet)
MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image Segmentation arXiv:2409.03062
Medical Image SegmentationonISIC 2018
Mean IoU· 2024-09-04
0.8456
best: 0.867 (DuAT)
MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image Segmentation arXiv:2409.03062
Medical Image SegmentationonISIC 2018
mean Dice· 2024-09-04
0.9074
best: 0.9253 (Polar Res-U-Net++)
MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image Segmentation arXiv:2409.03062

Audio2 results

10-shot image generationonPH2
Average Dice· 2024-09-04
95.7
SOTA
MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image Segmentation arXiv:2409.03062
10-shot image generationonPH2
Average IOU· 2024-09-04
92.3
SOTA
MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image Segmentation arXiv:2409.03062