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Zero-shot Classification on Let It Wag!

50.2Top-1 AccuracyDynamiCS
33.0437.49541.9546.405Apr 30, 2026

Evaluation results

MethodLinks
DynamiCSDataset (Data Size)=DataComp-DFN (130M), Samples Seen@Resolution=1.28B@112 + 128M@224, GPU-hours=1632026.0450.2
DynamiCSDataset (Data Size)=DataComp-DFN (130M), Samples Seen@Resolution=0.64B@112 + 128M@224, GPU-hours=952026.0446.5
DynamiCSDataset (Data Size)=LAION-400M (298M), Samples Seen@Resolution=2.56B@112 + 128M@224, GPU-hours=2992026.0445.5
DFN*Dataset (Data Size)=DataComp-DFN (130M), Samples Seen@Resolution=1.28B@112 + 128M@224, GPU-hours=1512026.0442.4
DynamiCSDataset (Data Size)=LAION-400M (298M), Samples Seen@Resolution=1.28B@112 + 128M@224, GPU-hours=1632026.0442.1
HQ-CLIPDataset (Data Size)=DataComp-DFN (130M), Samples Seen@Resolution=3.20B@224, GPU-hours=≈ 26752026.0438.2
CLIPA*Dataset (Data Size)=LAION-400M (298M), Samples Seen@Resolution=2.56B@112 + 128M@224, GPU-hours=2692026.0436.4
RECLIP*Dataset (Data Size)=LAION-400M (298M), Samples Seen@Resolution=2.56B@112 + 128M@224, GPU-hours=2802026.0436
DataCompDataset (Data Size)=DataComp (1.28B), Samples Seen@Resolution=1.28B@224, GPU-hours=≈ 10702026.0433.7