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Models/TGA-Net

TGA-Net

Reported on 6 benchmarks across 3 tasks · 1 paper · 4 SOTA

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

Medical4 results

Semantic SegmentationonKvasir-SEG
mDice· 2022-05-09
0.8982
best: 0.9258 (PVT-CASCADE)
SOTA
TGANet: Text-guided attention for improved polyp segmentation arXiv:2205.04280
Semantic SegmentationonKvasir-SEG
mIoU· 2022-05-09
0.833
best: 0.891 (SSFormer-S + PRN)
SOTA
TGANet: Text-guided attention for improved polyp segmentation arXiv:2205.04280
Medical Image SegmentationonKvasir-SEG
mIoU· 2022-05-09
0.833
best: 0.9065 (EffiSegNet-B5)
TGANet: Text-guided attention for improved polyp segmentation arXiv:2205.04280
Medical Image SegmentationonKvasir-SEG
mean Dice· 2022-05-09
0.8982
best: 0.9502 (DUCK-Net)
TGANet: Text-guided attention for improved polyp segmentation arXiv:2205.04280

Audio2 results

10-shot image generationonKvasir-SEG
mDice· 2022-05-09
0.8982
best: 0.9258 (PVT-CASCADE)
SOTA
TGANet: Text-guided attention for improved polyp segmentation arXiv:2205.04280
10-shot image generationonKvasir-SEG
mIoU· 2022-05-09
0.833
best: 0.891 (SSFormer-S + PRN)
SOTA
TGANet: Text-guided attention for improved polyp segmentation arXiv:2205.04280