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Models/TransNetR

TransNetR

Reported on 9 benchmarks across 3 tasks · 1 paper · 2 SOTA

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

Medical6 results

Semantic SegmentationonPolypGen
Dice· 2023-03-13
0.75
best: 0.808 (YOlO-SAM 2)
SOTA
TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing arXiv:2303.07428
Medical Image SegmentationonKvasir-SEG
FPS· 2023-03-13
54.6
best: 182.38 (ColonSegNet)
TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing arXiv:2303.07428
Medical Image SegmentationonKvasir-SEG
mIoU· 2023-03-13
0.8016
best: 0.9065 (EffiSegNet-B5)
TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing arXiv:2303.07428
Medical Image SegmentationonKvasir-SEG
mean Dice· 2023-03-13
0.8706
best: 0.9502 (DUCK-Net)
TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing arXiv:2303.07428
Semantic SegmentationonKvasir-SEG
mDice· 2023-03-13
0.8706
best: 0.9258 (PVT-CASCADE)
TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing arXiv:2303.07428
Semantic SegmentationonKvasir-SEG
mIoU· 2023-03-13
0.8016
best: 0.891 (SSFormer-S + PRN)
TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing arXiv:2303.07428

Audio3 results

10-shot image generationonPolypGen
Dice· 2023-03-13
0.75
best: 0.808 (YOlO-SAM 2)
SOTA
TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing arXiv:2303.07428
10-shot image generationonKvasir-SEG
mDice· 2023-03-13
0.8706
best: 0.9258 (PVT-CASCADE)
TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing arXiv:2303.07428
10-shot image generationonKvasir-SEG
mIoU· 2023-03-13
0.8016
best: 0.891 (SSFormer-S + PRN)
TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing arXiv:2303.07428