Image Classification on ImageNet-Vid
95.9Performance Metric 0 ScoreCLIP
Evaluation results
| Method | Links | ||
|---|---|---|---|
| CLIPModel=ViT-L/14@336, Pre-training Data=WIT-400M, Evaluation Protocol=our eval., Image size=3362022.12 | 95.9 | 88.8 | |
| CLIPEvaluation Protocol=Zero-Shot2021.02 | 95.3 | 89.2 | |
| CLIPModel=ViT-L/14@336, Pre-training Data=WIT-400M, Image size=3362022.12 | 95.3 | 89.2 | |
| CLIPModel=ViT-L/14, Pre-training Data=WIT-400M, Evaluation Protocol=our eval., Image size=2242022.12 | 94.6 | 87 | |
| FLIPModel=ViT-L/14, Pre-training Data=LAION-400M, Image size=2242022.12 | 91.1 | 83.5 | |
| OpenCLIPModel=ViT-L/14, Pre-training Data=LAION-400M, Evaluation Protocol=our eval., Image size=2242022.12 | 90.3 | 81.4 | |
| CLIPModel=ViT-L/14, Pre-training Data=LAION-400M, Evaluation Protocol=our repro., Image size=2242022.12 | 89.3 | 80.5 | |
| CLIPEvaluation Protocol=Linear Probe2021.02 | 89.1 | 77.2 | |
| NS EfficientNet-L22021.02 | 88 | 82.1 | |
| FixResNeXt101-32x48d V22021.02 | 85.8 | 72.2 |