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Benchmarks
Image Classification on CIFAR-100, ImageNet-O, ImageNet-V2, CIFAR-10
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65.27
Top-1 Accuracy
MulCLIP
57.8028
59.7414
61.68
63.6186
Dec 8, 2025
Top-1 Accuracy
Updated 1mo ago
Evaluation Results
Method
Method
Links
Top-1 Accuracy
MulCLIP
Backbone=ViT-L/14, Fin...
2025.12
65.27
GOAL
Backbone=ViT-L/14, Fin...
2025.12
65.12
GOAL
Backbone=ViT-L/14, Fin...
2025.12
64.69
MulCLIP
Backbone=ViT-L/14, Fin...
2025.12
63.07
MulCLIP
Backbone=ViT-B/16, Fin...
2025.12
61.11
MulCLIP
Backbone=ViT-B/16, Fin...
2025.12
60.65
GOAL
Backbone=ViT-B/16, Fin...
2025.12
59.48
GOAL
Backbone=ViT-B/16, Fin...
2025.12
58.09
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