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Models/NAT-Base

NAT-Base

Reported on 7 benchmarks across 3 tasks · 1 paper

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

Medical3 results

Semantic SegmentationonADE20K
GFLOPs (512 x 512)· 2022-04-14
1137
best: 3335 (ConvNeXt-XL++)
Neighborhood Attention Transformer arXiv:2204.07143
Semantic SegmentationonADE20K
Params (M)· 2022-04-14
123
best: 3000 (FD-SwinV2-G)
Neighborhood Attention Transformer arXiv:2204.07143
Semantic SegmentationonADE20K
Validation mIoU· 2022-04-14
49.7
best: 63.6 (ViT-P (InternImage-H))
Neighborhood Attention Transformer arXiv:2204.07143

Audio3 results

10-shot image generationonADE20K
GFLOPs (512 x 512)· 2022-04-14
1137
best: 3335 (ConvNeXt-XL++)
Neighborhood Attention Transformer arXiv:2204.07143
10-shot image generationonADE20K
Params (M)· 2022-04-14
123
best: 3000 (FD-SwinV2-G)
Neighborhood Attention Transformer arXiv:2204.07143
10-shot image generationonADE20K
Validation mIoU· 2022-04-14
49.7
best: 63.6 (ViT-P (InternImage-H))
Neighborhood Attention Transformer arXiv:2204.07143

Computer Vision1 result

Image ClassificationonImageNet
GFLOPs· 2022-04-14
13.7
best: 1478 (InternImage-H)
Neighborhood Attention Transformer arXiv:2204.07143