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Image Classification on CIFAR-100 (Accuracy and Parameter Efficiency)

94.14AccuracyFull
86.49688.480590.46592.4495Dec 15, 2023Apr 23, 2024Aug 31, 2024Jan 8, 2025May 18, 2025Sep 25, 2025Feb 2, 2026

Evaluation results

MethodLinks
FullArchitecture=ConvNeXt-B2023.1294.14100
GPSArchitecture=ViT-B/162023.1294.020.68
SSFArchitecture=ViT-B/162023.1293.990.33
FullArchitecture=Swin-B2023.1293.85100
FullArchitecture=ViT-B/162023.1293.82100
GPSArchitecture=ConvNeXt-B2023.1293.580.9
GPSArchitecture=Swin-B2023.1293.550.96
SSFArchitecture=ConvNeXt-B2023.1293.450.42
BiasArchitecture=ViT-B/162023.1293.390.21
AdapterArchitecture=ViT-B/162023.1293.340.36
VPT-DeepArchitecture=ViT-B/162023.1293.171.43
SSFArchitecture=Swin-B2023.1293.060.43
AdapterArchitecture=ConvNeXt-B2023.1292.860.52
BiasArchitecture=ConvNeXt-B2023.1292.80.27
VPT-DeepArchitecture=Swin-B2023.1292.620.81
AdapterArchitecture=Swin-B2023.1292.490.38
BiasArchitecture=Swin-B2023.1292.190.28
VPT-ShallowArchitecture=ViT-B/162023.1290.381.07
VPT-ShallowArchitecture=Swin-B2023.1290.020.15
LinearArchitecture=Swin-B2023.1289.270.12
LinearArchitecture=ConvNeXt-B2023.1289.20.12
LinearArchitecture=ViT-B/162023.1288.70.09
SVD-ViTComponents=SPC + SSVA, Layer=92026.0288.05—
SVD-ViTComponents=SPC + SSVA, Layer=112026.0287.8—
SVD-ViTComponents=SPC + SSVA, Layer=102026.0287.72—
SVD-ViTComponents=SPC + SSVA + ID-RSVD, Layer=112026.0287.66—
SVD-ViTComponents=SPC + SSVA + ID-RSVD, Layer=102026.0287.6—
SVD-ViTComponents=SPC, Layer=102026.0287.42—
SVD-ViTComponents=SPC + ID-RSVD, Layer=112026.0287.4—
SVD-ViTComponents=SPC, Layer=92026.0287.32—
SVD-ViTComponents=SPC + SSVA + ID-RSVD, Layer=92026.0287.29—
SVD-ViTComponents=SPC + ID-RSVD, Layer=92026.0287.16—
SVD-ViTComponents=SPC, Layer=112026.0287.09—
ViTCLS=1, Layer=-2026.0286.88—
SVD-ViTComponents=SPC + ID-RSVD, Layer=102026.0286.83—
ViTCLS=8, Layer=-2026.0286.79—