Our new X account is live! Follow @wizwand_team for updates
Home
/
Benchmarks
Fine-Grained Visual Categorization on Car (Accuracy, Parameters, GFLOPs)
Loading...
96.1
Accuracy
SR-GNN
93.604
94.252
94.9
95.548
Sep 5, 2022
Accuracy
Parameters (M)
GFLOPs (B)
Updated 4d ago
Evaluation Results
Method
Method
Links
Accuracy
Parameters (M)
GFLOPs (B)
SR-GNN
Input Size=224x224
2022.09
96.1
30.9
9.8
CAMF
Transformer=Swin-224,...
2022.09
95.3
-
-
CAMF
Transformer=Swin-224,...
2022.09
94.8
-
-
TrnFG
Transformer=ViT-B-16,...
2022.09
94.8
-
-
Swin
Transformer=Swin-224,...
2022.09
94.8
88
47
Swin
Transformer=Swin-224,...
2022.09
94.2
88
15.4
ViT
Transformer=ViT-B-16,...
2022.09
93.7
86
55.4
Feedback
Search any
task
Search any
task