Image Classification on ImageNet-1k (Top-1 Accuracy Only)
79.7Top-1 AccuracyUGIES
Evaluation results
| Method | Links | |
|---|---|---|
| UGIESBackbone=Swin-T, Pruning Ratio=30%, Training Epochs=3002026.06 | 79.7 | |
| PFBBackbone=Swin-T, Pruning Ratio=30%, Training Epochs=3002026.06 | 79.6 | |
| Full DataBackbone=Swin-T, Pruning Ratio=0%, Training Epochs=3002026.06 | 79.6 | |
| UGIESBackbone=Swin-T, Pruning Ratio=40%, Training Epochs=3002026.06 | 79.4 | |
| PFBBackbone=Swin-T, Pruning Ratio=40%, Training Epochs=3002026.06 | 79.2 | |
| Dyn-UncBackbone=Swin-T, Pruning Ratio=30%, Training Epochs=3002026.06 | 79.1 | |
| UGIESBackbone=Swin-T, Pruning Ratio=50%, Training Epochs=3002026.06 | 78.9 | |
| InfoBatchBackbone=Swin-T, Pruning Ratio=30%, Training Epochs=3002026.06 | 78.6 | |
| Dyn-UncBackbone=Swin-T, Pruning Ratio=40%, Training Epochs=3002026.06 | 78.5 | |
| ForgettingBackbone=Swin-T, Pruning Ratio=30%, Training Epochs=3002026.06 | 78.3 | |
| EL2NBackbone=Swin-T, Pruning Ratio=30%, Training Epochs=3002026.06 | 78.2 | |
| InfoBatchBackbone=Swin-T, Pruning Ratio=40%, Training Epochs=3002026.06 | 78.2 | |
| PFBBackbone=Swin-T, Pruning Ratio=50%, Training Epochs=3002026.06 | 78.2 | |
| ForgettingBackbone=Swin-T, Pruning Ratio=40%, Training Epochs=3002026.06 | 77.6 | |
| Dyn-UncBackbone=Swin-T, Pruning Ratio=50%, Training Epochs=3002026.06 | 77.6 | |
| InfoBatchBackbone=Swin-T, Pruning Ratio=50%, Training Epochs=3002026.06 | 77.5 | |
| RandomBackbone=Swin-T, Pruning Ratio=30%, Training Epochs=3002026.06 | 77.2 | |
| ModerateBackbone=Swin-T, Pruning Ratio=30%, Training Epochs=3002026.06 | 77.1 | |
| UGIESBackbone=ResNet-50, Pruning Ratio=30%, Training Epochs=902026.06 | 77 | |
| SVPBackbone=Swin-T, Pruning Ratio=30%, Training Epochs=3002026.06 | 76.6 | |
| MoSoBackbone=ResNet-50, Pruning Ratio=30%, Training Epochs=902026.06 | 76.5 | |
| InfoBatchBackbone=ResNet-50, Pruning Ratio=30%, Training Epochs=902026.06 | 76.5 | |
| UGIESBackbone=ResNet-50, Pruning Ratio=50%, Training Epochs=902026.06 | 76.5 | |
| Full DataBackbone=ResNet-50, Pruning Ratio=0%, Training Epochs=902026.06 | 76.4 | |
| RandomBackbone=Swin-T, Pruning Ratio=40%, Training Epochs=3002026.06 | 75.9 | |
| EL2NBackbone=Swin-T, Pruning Ratio=40%, Training Epochs=3002026.06 | 75.9 | |
| ModerateBackbone=Swin-T, Pruning Ratio=40%, Training Epochs=3002026.06 | 75.9 | |
| InfoBatchBackbone=ResNet-50, Pruning Ratio=50%, Training Epochs=902026.06 | 75.8 | |
| UGIESBackbone=ResNet-50, Pruning Ratio=70%, Training Epochs=902026.06 | 75.3 | |
| InfoMaxBackbone=ResNet-50, Pruning Ratio=30%, Training Epochs=902026.06 | 75.2 | |
| ModerateBackbone=ResNet-50, Pruning Ratio=30%, Training Epochs=902026.06 | 75.2 | |
| D2-pruningBackbone=ResNet-50, Pruning Ratio=30%, Training Epochs=902026.06 | 75 | |
| ModerateBackbone=Swin-T, Pruning Ratio=50%, Training Epochs=3002026.06 | 75 | |
| InfoBatchBackbone=ResNet-50, Pruning Ratio=70%, Training Epochs=902026.06 | 74.9 | |
| SVPBackbone=Swin-T, Pruning Ratio=40%, Training Epochs=3002026.06 | 74.9 | |
| ForgettingBackbone=ResNet-50, Pruning Ratio=30%, Training Epochs=902026.06 | 74.8 | |
| RandomBackbone=Swin-T, Pruning Ratio=50%, Training Epochs=3002026.06 | 74.5 | |
| EL2NBackbone=ResNet-50, Pruning Ratio=30%, Training Epochs=902026.06 | 74.3 | |
| ForgettingBackbone=Swin-T, Pruning Ratio=50%, Training Epochs=3002026.06 | 74.3 | |
| InfoMaxBackbone=ResNet-50, Pruning Ratio=50%, Training Epochs=902026.06 | 73.7 | |
| HerdingBackbone=ResNet-50, Pruning Ratio=30%, Training Epochs=902026.06 | 73.5 | |
| MoSoBackbone=ResNet-50, Pruning Ratio=50%, Training Epochs=902026.06 | 73.5 | |
| D2-pruningBackbone=ResNet-50, Pruning Ratio=50%, Training Epochs=902026.06 | 73.4 | |
| SVPBackbone=Swin-T, Pruning Ratio=50%, Training Epochs=3002026.06 | 72.7 | |
| RandomBackbone=ResNet-50, Pruning Ratio=30%, Training Epochs=902026.06 | 72.2 | |
| ModerateBackbone=ResNet-50, Pruning Ratio=50%, Training Epochs=902026.06 | 72.2 | |
| ForgettingBackbone=ResNet-50, Pruning Ratio=50%, Training Epochs=902026.06 | 72 | |
| EL2NBackbone=Swin-T, Pruning Ratio=50%, Training Epochs=3002026.06 | 71.1 | |
| MoSoBackbone=ResNet-50, Pruning Ratio=70%, Training Epochs=902026.06 | 70 | |
| HerdingBackbone=ResNet-50, Pruning Ratio=50%, Training Epochs=902026.06 | 69.3 | |
| RandomBackbone=ResNet-50, Pruning Ratio=50%, Training Epochs=902026.06 | 69.1 | |
| InfoMaxBackbone=ResNet-50, Pruning Ratio=70%, Training Epochs=902026.06 | 68.6 | |
| EL2NBackbone=ResNet-50, Pruning Ratio=50%, Training Epochs=902026.06 | 68.5 | |
| D2-pruningBackbone=ResNet-50, Pruning Ratio=70%, Training Epochs=902026.06 | 68.2 | |
| ForgettingBackbone=ResNet-50, Pruning Ratio=70%, Training Epochs=902026.06 | 67.8 | |
| ModerateBackbone=ResNet-50, Pruning Ratio=70%, Training Epochs=902026.06 | 67.7 | |
| RandomBackbone=ResNet-50, Pruning Ratio=70%, Training Epochs=902026.06 | 65.9 | |
| HerdingBackbone=ResNet-50, Pruning Ratio=70%, Training Epochs=902026.06 | 65.1 | |
| EL2NBackbone=ResNet-50, Pruning Ratio=70%, Training Epochs=902026.06 | 54.8 |