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Fine-Grained Visual Categorization on Cars (Top-1 accuracy)

70.1Top-1 AccuracyDSeq-JEPA
25.27636.91348.5560.187Nov 21, 2025

Evaluation results

MethodLinks
DSeq-JEPAArch.=ViT-H/16448, Epochs=300, View Data Augmentation=false2025.1170.1
DSeq-JEPAArch.=ViT-L/16, Epochs=600, View Data Augmentation=false2025.1168.9
DSeq-C-JEPAArch.=ViT-L/16, Epochs=600, View Data Augmentation=false2025.1168.8
I-JEPAArch.=ViT-L/16, Epochs=600, View Data Augmentation=false2025.1168.1
iBOTArch.=ViT-B/16, Epochs=1600, View Data Augmentation=true2025.1168.1
C-JEPAArch.=ViT-L/16, Epochs=600, View Data Augmentation=false2025.1167.7
DSeq-C-JEPAArch.=ViT-B/16, Epochs=600, View Data Augmentation=false2025.1167.4
DSeq-JEPAArch.=ViT-B/16, Epochs=600, View Data Augmentation=false2025.1167.3
C-JEPAArch.=ViT-B/16, Epochs=600, View Data Augmentation=false2025.1166.1
I-JEPAArch.=ViT-B/16, Epochs=600, View Data Augmentation=false2025.1165.9
MAEArch.=ViT-L/16, Epochs=1600, View Data Augmentation=false2025.1161.9
MAEArch.=ViT-B/16, Epochs=1600, View Data Augmentation=false2025.1160.2
DINOArch.=ViT-B/16, Epochs=1600, View Data Augmentation=true2025.1127