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Benchmarks
Fine-Grained Visual Categorization on iNat 21
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39.7
Top-1 Accuracy
DSeq-C-JEPA
29.82
32.385
34.95
37.515
Nov 21, 2025
Top-1 Accuracy
Updated 1mo ago
Evaluation Results
Method
Method
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Top-1 Accuracy
DSeq-C-JEPA
Arch.=ViT-L/16, Epochs...
2025.11
39.7
DSeq-JEPA
Arch.=ViT-L/16, Epochs...
2025.11
39.5
DSeq-JEPA
Arch.=ViT-H/16448, Epo...
2025.11
39.3
C-JEPA
Arch.=ViT-L/16, Epochs...
2025.11
39
iBOT
Arch.=ViT-B/16, Epochs...
2025.11
38.9
I-JEPA
Arch.=ViT-L/16, Epochs...
2025.11
38.8
MAE
Arch.=ViT-L/16, Epochs...
2025.11
37.1
DSeq-C-JEPA
Arch.=ViT-B/16, Epochs...
2025.11
36.6
DSeq-JEPA
Arch.=ViT-B/16, Epochs...
2025.11
36.4
C-JEPA
Arch.=ViT-B/16, Epochs...
2025.11
36.2
I-JEPA
Arch.=ViT-B/16, Epochs...
2025.11
35.9
MAE
Arch.=ViT-B/16, Epochs...
2025.11
33.5
DINO
Arch.=ViT-B/16, Epochs...
2025.11
30.2
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