Image Classification on Sports
99.1Top-1 AccWukong
Evaluation results
| Method | Links | |
|---|---|---|
| WukongBackbone=ViT-L, Zero-shot=true, Pre-training Dataset=Wukong2022.02 | 99.1 | |
| FILIPBackbone=Swin-L, Zero-shot=true, Pre-training Dataset=Wukong2022.02 | 99.1 | |
| CLIPBackbone=ViT-L, Zero-shot=true, Pre-training Dataset=Wukong2022.02 | 98.7 | |
| FILIPBackbone=ViT-L, Zero-shot=true, Pre-training Dataset=Wukong2022.02 | 97.8 | |
| WukongBackbone=Swin-L, Zero-shot=true, Pre-training Dataset=Wukong2022.02 | 97.8 | |
| CLIPBackbone=Swin-L, Zero-shot=true, Pre-training Dataset=Wukong2022.02 | 97.5 | |
| WukongBackbone=ViT-B, Zero-shot=true, Pre-training Dataset=Wukong2022.02 | 95.6 | |
| CLIPBackbone=ViT-B, Zero-shot=true, Pre-training Dataset=Wukong2022.02 | 93.1 | |
| FILIPBackbone=ViT-B, Zero-shot=true, Pre-training Dataset=Wukong2022.02 | 91.2 | |
| Sparse Transductive Logistic Regressiond=14870, l=85, lu=67782015.07 | 88.15 | |
| BriVLZero-shot=true, Pre-training Dataset=Own dataset2022.02 | 83.6 | |
| Sparse Logistic Regressiond=14870, l=85, lu=67782015.07 | 81.26 | |
| In-Writing-BaseBackbone=LLaMA3-8B-it, Setting=Zero-shot2026.01 | 77.4 | |
| In-Writing-BaseBackbone=Gemma2-9B-it, Setting=Zero-shot2026.01 | 76.2 | |
| NL-to-FormatBackbone=Gemma2-9B-it, Setting=Zero-shot2026.01 | 76.1 | |
| NL-to-FormatBackbone=LLaMA3-8B-it, Setting=Zero-shot2026.01 | 69.5 |