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ResearchFormerly WizWand

Medical Image Classification on Medical CLS

35.48AccuracyCHIPS
24.35227.24130.1333.019Nov 23, 2025
Updated 7mo ago

Evaluation results

MethodLinks
CHIPSBackbone=H14, Pre-training Data Scale=2.5B, Data Retention Ratio=10%2025.1135.48
RandomBackbone=H14, Pre-training Data Scale=2.5B, Data Retention Ratio=10%2025.1135.23
TracInBackbone=H14, Pre-training Data Scale=2.5B, Data Retention Ratio=10%2025.1135.1
CHIPSBackbone=L14, Pre-training Data Scale=2.5B, Data Retention Ratio=10%2025.1131.74
TracInBackbone=L14, Pre-training Data Scale=2.5B, Data Retention Ratio=10%2025.1131.54
RandomBackbone=L14, Pre-training Data Scale=2.5B, Data Retention Ratio=10%2025.1130.75
CHIPSBackbone=L14, Pre-training Data Scale=400M, Data Retention Ratio=10%2025.1129.73
RandomBackbone=L14, Pre-training Data Scale=400M, Data Retention Ratio=10%2025.1129.33
CHIPSBackbone=B32, Pre-training Data Scale=2.5B, Data Retention Ratio=10%2025.1128.13
RandomBackbone=B32, Pre-training Data Scale=2.5B, Data Retention Ratio=10%2025.1127.95
CHIPSBackbone=B32, Pre-training Data Scale=400M, Data Retention Ratio=10%2025.1127.83
TracInBackbone=B32, Pre-training Data Scale=400M, Data Retention Ratio=10%2025.1127.48
RandomBackbone=B32, Pre-training Data Scale=400M, Data Retention Ratio=10%2025.1127.15
TracInBackbone=L14, Pre-training Data Scale=400M, Data Retention Ratio=10%2025.1127.08
CHIPSBackbone=B16, Pre-training Data Scale=400M, Data Retention Ratio=10%2025.1127.03
CHIPSBackbone=B16, Pre-training Data Scale=2.5B, Data Retention Ratio=10%2025.1126.93
TracInBackbone=B16, Pre-training Data Scale=400M, Data Retention Ratio=10%2025.1126.46
RandomBackbone=B16, Pre-training Data Scale=2.5B, Data Retention Ratio=10%2025.1126.3
TracInBackbone=B32, Pre-training Data Scale=2.5B, Data Retention Ratio=10%2025.1126.25
TracInBackbone=B16, Pre-training Data Scale=2.5B, Data Retention Ratio=10%2025.1125.89
RandomBackbone=B16, Pre-training Data Scale=400M, Data Retention Ratio=10%2025.1124.78