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Image Classification on 12 Fine-Grained Datasets Suite

83.4Accuracy (Food-101)Scala-B
-2.5206419.7856842.09264.39832Apr 14, 2023Jul 23, 2023Oct 31, 2023Feb 9, 2024May 19, 2024Aug 27, 2024Dec 6, 2024

Evaluation results

MethodLinks
Scala-Br=1.00, Arch=ViT-B, Protocol=Linear Probing2024.1283.497.386.669.774.36387.67894.695.197.384.184.2
Scala-Br=0.50, Arch=ViT-S, Protocol=Linear Probing2024.1278.695.581.965.964.455.286.174.99493.99681.180.6
DeiT-Br=1.00, Arch=ViT-B, Protocol=Linear Probing2024.1276.995.681.16357.149.18370.392.890.790.772.877
Scala-Br=0.25, Arch=ViT-Ti, Protocol=Linear Probing2024.1272.893.678.161.455.449.684.272.192.992.193.476.776.8
DeiT-Sr=1.00, Arch=ViT-S, Protocol=Linear Probing2024.1272.194.177.760.549.444.583.369.592.190.388.871.974.5
DeiT-Tir=1.00, Arch=ViT-Ti, Protocol=Linear Probing2024.126590.672.556.139.739.981.66791.188.885.169.470.6
DINOv2Arch=ViT-g/14, Protocol=Linear evaluation of frozen features2023.040.9470.9950.9440.7870.9140.8720.890.8450.9670.9760.9970.9160.921
OpenCLIPArch=ViT-G/14, Protocol=Linear evaluation of frozen features2023.040.9450.9870.910.840.9610.8020.8930.860.9570.9810.9950.8990.919
DINOv2Arch=ViT-L/14, Protocol=Linear evaluation of frozen features2023.040.9430.9930.9340.7870.9010.8150.8830.840.9660.9750.9970.9050.912
DINOv2Arch=ViT-B/14, Protocol=Linear evaluation of frozen features2023.040.9280.9870.9130.7730.8820.7940.8820.8330.9620.9610.9960.8960.901
iBOTArch=ViT-L/16, Protocol=Linear evaluation of frozen features2023.040.910.990.9280.7560.7180.7240.890.8070.8770.9750.9960.8210.866
DINOv2Arch=ViT-S/14, Protocol=Linear evaluation of frozen features2023.040.8910.9770.8750.7440.8160.740.8780.8060.9510.970.9960.8810.877
DINOArch=ViT-B/8, Protocol=Linear evaluation of frozen features2023.040.8510.9720.8690.7030.7660.7060.8670.7960.9320.9540.9760.8170.851
MAEArch=ViT-H/14, Protocol=Linear evaluation of frozen features2023.040.7840.9610.8390.6390.5610.6340.8430.7540.8940.9590.9230.5720.78