Image Classification on CUB (Accuracy)
85.22AccuracyStandard
Evaluation Results
| Method | Links | |
|---|---|---|
| StandardBackbone=ViT-L/142025.11 | 85.22 | |
| StandardBackbone=ViT-L/142025.11 | 85.22 | |
| FCBMBackbone=ViT-L/14, Average NEC=28.082025.11 | 80.52 | |
| FCBMBackbone=ViT-L/142025.11 | 80.52 | |
| CF-CBMBackbone=ViT-L/14, Average NEC=28.562025.11 | 79.56 | |
| CF-CBMBackbone=ViT-L/142025.11 | 79.56 | |
| LF-CBMBackbone=ViT-L/14, Average NEC=27.852025.11 | 75.44 | |
| LF-CBMBackbone=ViT-L/142025.11 | 75.44 | |
| Standard (sparse)Backbone=ViT-L/14, Average NEC=28.922025.11 | 72.07 | |
| Standard (sparse)Backbone=ViT-L/142025.11 | 72.07 | |
| StandardBackbone=ResNet502025.11 | 71 | |
| StandardBackbone=ResNet502025.11 | 71 | |
| PCBMBackbone=ViT-L/14, Average NEC=32.562025.11 | 68.25 | |
| PCBMBackbone=ViT-L/142025.11 | 68.25 | |
| CF-CBMBackbone=ResNet50, Average NEC=28.462025.11 | 64.23 | |
| CF-CBMBackbone=ResNet502025.11 | 64.23 | |
| FCBMBackbone=ResNet50, Average NEC=28.852025.11 | 63.46 | |
| FCBMBackbone=ResNet502025.11 | 63.46 | |
| PCBMBackbone=ResNet50, Average NEC=32.372025.11 | 58.39 | |
| PCBMBackbone=ResNet502025.11 | 58.39 | |
| LF-CBMBackbone=ResNet50, Average NEC=27.372025.11 | 56.91 | |
| LF-CBMBackbone=ResNet502025.11 | 56.91 | |
| Standard (sparse)Backbone=ResNet50, Average NEC=29.842025.11 | 53.34 | |
| Standard (sparse)Backbone=ResNet502025.11 | 53.34 |