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Image Classification on MNIST (accuracy, performance gain)

99.8Accuracyfine-tuned
85.7689.40593.0596.695Feb 10, 2026

Evaluation results

MethodLinks
fine-tunedBackbone=ViT-L/142026.0299.8—
fine-tunedBackbone=ViT-B/162026.0299.7—
fine-tunedBackbone=ViT-B/322026.0299.6—
ISO-C/LARVBackbone=ViT-L/142026.0299.20.1
ISO-CTS/LARVBackbone=ViT-L/142026.0299.20.1
TSV-M/LARVBackbone=ViT-L/142026.0299.20.1
TSV-M/LARVBackbone=ViT-B/162026.0299.10
TSV-M/LARVBackbone=ViT-B/322026.0298.90
ISO-CTS/LARVBackbone=ViT-B/162026.0298.90.3
ISO-C/LARVBackbone=ViT-B/322026.0298.80.3
ISO-C/LARVBackbone=ViT-B/162026.0298.8-0.1
TA/LARVBackbone=ViT-B/162026.0298.60.5
TA/LARVBackbone=ViT-L/142026.0298.60.6
ISO-CTS/LARVBackbone=ViT-B/322026.0298.30.2
TIES/LARVBackbone=ViT-B/162026.0298.31.9
TIES/LARVBackbone=ViT-L/142026.0298.20.4
TA/LARVBackbone=ViT-B/322026.0297.31.2
Simple AveragingBackbone=ViT-L/142026.0296.6—
AdaMergingBackbone=ViT-B/162026.0296.4—
TIES/LARVBackbone=ViT-B/322026.0295.41.3
Simple AveragingBackbone=ViT-B/162026.0293.8—
AdaMergingBackbone=ViT-L/142026.0293.1—
Simple AveragingBackbone=ViT-B/322026.0286.3—