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Benchmarks
Fine-Grained Visual Categorization on Cars (Top-1 accuracy)
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70.1
Top-1 Accuracy
DSeq-JEPA
25.276
36.913
48.55
60.187
Nov 21, 2025
Top-1 Accuracy
Updated 1mo ago
Evaluation Results
Method
Method
Links
Top-1 Accuracy
DSeq-JEPA
Arch.=ViT-H/16448, Epo...
2025.11
70.1
DSeq-JEPA
Arch.=ViT-L/16, Epochs...
2025.11
68.9
DSeq-C-JEPA
Arch.=ViT-L/16, Epochs...
2025.11
68.8
I-JEPA
Arch.=ViT-L/16, Epochs...
2025.11
68.1
iBOT
Arch.=ViT-B/16, Epochs...
2025.11
68.1
C-JEPA
Arch.=ViT-L/16, Epochs...
2025.11
67.7
DSeq-C-JEPA
Arch.=ViT-B/16, Epochs...
2025.11
67.4
DSeq-JEPA
Arch.=ViT-B/16, Epochs...
2025.11
67.3
C-JEPA
Arch.=ViT-B/16, Epochs...
2025.11
66.1
I-JEPA
Arch.=ViT-B/16, Epochs...
2025.11
65.9
MAE
Arch.=ViT-L/16, Epochs...
2025.11
61.9
MAE
Arch.=ViT-B/16, Epochs...
2025.11
60.2
DINO
Arch.=ViT-B/16, Epochs...
2025.11
27
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