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Fine-grained Image Classification on Flowers-102 (test)
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59.9
Mean Accuracy
FastViT-SA12
5.404
19.552
33.7
47.848
Feb 6, 2026
Mean Accuracy
Updated 4d ago
Evaluation Results
Method
Method
Links
Mean Accuracy
FastViT-SA12
Params=10.60M, FLOPs=1...
2026.02
59.9
TwistNet-18
Params=11.59M, FLOPs=1...
2026.02
58.5
RepViT-M1.5
Params=13.67M, FLOPs=2...
2026.02
51.6
Swin-Tiny
Params=27.56M, FLOPs=4...
2026.02
48.8
ConvNeXtV2-Nano
Params=15.01M, FLOPs=2...
2026.02
46.1
ResNet-18
Params=11.20M, FLOPs=1...
2026.02
43.6
SE-ResNet-18
Params=11.29M, FLOPs=1...
2026.02
40.5
ConvNeXt-Tiny
Params=27.86M, FLOPs=4...
2026.02
7.5
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