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Fine-Grained Visual Categorization on Dog
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97.3
Accuracy
SR-GNN
91.476
92.988
94.5
96.012
Sep 5, 2022
Accuracy
Parameters (M)
GFLOPs (B)
Updated 1mo ago
Evaluation Results
Method
Method
Links
Accuracy
Parameters (M)
GFLOPs (B)
SR-GNN
Input Size=224x224
2022.09
97.3
30.9
9.8
CAMF
Transformer=Swin-224,...
2022.09
92.8
-
-
CAMF
Transformer=Swin-224,...
2022.09
92.6
-
-
Swin
Transformer=Swin-224,...
2022.09
92.5
88
47
TrnFG
Transformer=ViT-B-16,...
2022.09
92.3
-
-
Swin
Transformer=Swin-224,...
2022.09
91.8
88
15.4
ViT
Transformer=ViT-B-16,...
2022.09
91.7
86
55.4
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