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ResearchFormerly WizWand

Image Classification on General CLS

61.36AccuracyRandom
46.623250.449154.27558.1009Nov 23, 2025
Updated 7mo ago

Evaluation results

MethodLinks
RandomBackbone=H14, Pre-training Data Scale=2.5B, Data Retention Ratio=10%2025.1161.36
RandomBackbone=L14, Pre-training Data Scale=2.5B, Data Retention Ratio=10%2025.1160.74
TracInBackbone=H14, Pre-training Data Scale=2.5B, Data Retention Ratio=10%2025.1158.27
CHIPSBackbone=H14, Pre-training Data Scale=2.5B, Data Retention Ratio=10%2025.1158.24
CHIPSBackbone=L14, Pre-training Data Scale=2.5B, Data Retention Ratio=10%2025.1157.93
RandomBackbone=L14, Pre-training Data Scale=400M, Data Retention Ratio=10%2025.1157.07
TracInBackbone=L14, Pre-training Data Scale=2.5B, Data Retention Ratio=10%2025.1156.98
RandomBackbone=B16, Pre-training Data Scale=2.5B, Data Retention Ratio=10%2025.1155.91
CHIPSBackbone=L14, Pre-training Data Scale=400M, Data Retention Ratio=10%2025.1153.65
TracInBackbone=L14, Pre-training Data Scale=400M, Data Retention Ratio=10%2025.1152.99
RandomBackbone=B16, Pre-training Data Scale=400M, Data Retention Ratio=10%2025.1152.21
CHIPSBackbone=B16, Pre-training Data Scale=2.5B, Data Retention Ratio=10%2025.1151.27
RandomBackbone=B32, Pre-training Data Scale=2.5B, Data Retention Ratio=10%2025.1150.69
TracInBackbone=B16, Pre-training Data Scale=2.5B, Data Retention Ratio=10%2025.1150.17
CHIPSBackbone=B32, Pre-training Data Scale=2.5B, Data Retention Ratio=10%2025.1149.48
RandomBackbone=B32, Pre-training Data Scale=400M, Data Retention Ratio=10%2025.1149.31
TracInBackbone=B32, Pre-training Data Scale=2.5B, Data Retention Ratio=10%2025.1148.9
CHIPSBackbone=B32, Pre-training Data Scale=400M, Data Retention Ratio=10%2025.1147.9
CHIPSBackbone=B16, Pre-training Data Scale=400M, Data Retention Ratio=10%2025.1147.88
TracInBackbone=B16, Pre-training Data Scale=400M, Data Retention Ratio=10%2025.1147.26
TracInBackbone=B32, Pre-training Data Scale=400M, Data Retention Ratio=10%2025.1147.19