Visual Classification on Comprehensive Visual Classification Benchmark (11 datasets)
71.6Average AccuracyStatA
Evaluation results
| Method | Links | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| StatABatch size=64, Keff=Low (2-10)2025.01 | 71.6 | 81.3 | 78 | 28.1 | 43.5 | 71.5 | 92.3 | 92.7 | 74.7 | 93 | 48.9 | 70.9 | |
| StatABatch size=1000, Keff=Very High (50-100)2025.01 | 70.7 | 71.8 | 67.1 | 23.9 | 60.7 | 70.2 | 87.1 | 91.1 | 74.3 | 93.7 | 48 | 70.7 | |
| TransCLIPBackbone=ViT-B/16, Batch Size=Whole dataset, Keff=All classes2025.01 | 70.3 | 70.4 | 68.9 | 26.9 | 66.1 | 69.5 | 87.1 | 92.5 | 76.5 | 92.7 | 48.6 | 74.1 | |
| StatAKeff=All classes2025.01 | 69.9 | 68.7 | 64.7 | 24.7 | 67.3 | 68 | 87.1 | 92.4 | 75.2 | 94.2 | 48.4 | 73.5 | |
| StatABackbone=ViT-B/16, Batch Size=Whole dataset, Keff=All classes2025.01 | 69.9 | 69.9 | 68.7 | 24.7 | 67.3 | 68 | 87.1 | 92.4 | 75.2 | 94.2 | 48.4 | 73.5 | |
| StatABatch size=1000, Keff=High (25-50)2025.01 | 69.8 | 71.8 | 65.4 | 25.9 | 60.7 | 73.6 | 88 | 91.4 | 76.7 | 93.2 | 47.9 | 71.5 | |
| StatABatch size=64, Keff=Very Low (1-4)2025.01 | 69.3 | 69.3 | 64.8 | 27.4 | 46.9 | 68 | 87.2 | 89.4 | 71.7 | 94 | 44.4 | 69 | |
| StatABatch size=64, Keff=Medium (5-25)2025.01 | 69.1 | 71.1 | 68.2 | 26 | 45 | 71.1 | 88.2 | 90.8 | 73.7 | 93.9 | 47.5 | 69.1 | |
| StatABatch size=1000, Keff=Medium (5-25)2025.01 | 68 | 64.5 | 64.5 | 28.4 | 60.4 | 74 | 87.5 | 93.1 | 77.5 | 92.8 | 47.1 | 70.2 | |
| MTABackbone=ViT-B/162025.01 | 66.6 | 69.3 | 64.8 | 27.4 | 46.9 | 68 | 87.2 | 89.4 | 71.7 | 94 | 44.4 | 69 | |
| MTABackbone=ViT-B/16, Batch Size=Whole dataset, Keff=All classes2025.01 | 66.6 | 69.3 | 64.8 | 27.4 | 46.9 | 68 | 87.2 | 89.4 | 71.7 | 94 | 44.4 | 69 | |
| ZLaPBackbone=ViT-B/16, Batch Size=Whole dataset, Keff=All classes2025.01 | 66.4 | 68.8 | 67.2 | 26.9 | 49.1 | 67.1 | 86.9 | 87.8 | 68.7 | 90.8 | 45.5 | 71.4 | |
| CLIPBackbone=ViT-B/16, Protocol=Zero-shot2025.01 | 65.2 | 66.6 | 62.5 | 24.7 | 48.3 | 65.6 | 85.9 | 89.1 | 70.7 | 93.2 | 43.5 | 67.5 | |
| CLIPBackbone=ViT-B/16, Batch Size=Whole dataset, Keff=All classes2025.01 | 65.2 | 66.6 | 62.5 | 24.7 | 48.3 | 65.6 | 85.9 | 89.1 | 70.7 | 93.2 | 43.5 | 67.5 | |
| DirichletBackbone=ViT-B/16, Batch Size=Whole dataset, Keff=All classes2025.01 | 29.5 | 66.6 | 0.7 | 15.5 | 39.9 | 21.2 | 8.5 | 76.3 | 14.3 | 44 | 19.4 | 18.4 |