Image Classification on ImageNet 1k (val) (Accuracy & Sparsity)
75.5Top-1 AccuracyContinuous Sparsification
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Continuous SparsificationBackbone=ResNet-50, Protocol=Re-trained2019.12 | 75.5 | 91.8 | |
| STRBackbone=ResNet-50, Protocol=Fine-tuned2019.12 | 74.3 | 90.2 | |
| DNWBackbone=ResNet-50, Protocol=Fine-tuned2019.12 | 74 | 90 | |
| GMPBackbone=ResNet-50, Protocol=Fine-tuned2019.12 | 73.9 | 90 | |
| IMPBackbone=ResNet-50, Protocol=Re-trained2019.12 | 73.6 | 90 | |
| Continuous SparsificationBackbone=ResNet-50, Protocol=Fine-tuned2019.12 | 72.4 | 95.3 | |
| Continuous SparsificationBackbone=ResNet-50, Protocol=Fine-tuned2019.12 | 71.4 | 97.1 | |
| Continuous SparsificationBackbone=ResNet-50, Protocol=Re-trained2019.12 | 71.1 | 95.3 | |
| GMPBackbone=ResNet-50, Protocol=Fine-tuned2019.12 | 70.6 | 95 | |
| STRBackbone=ResNet-50, Protocol=Fine-tuned2019.12 | 70.4 | 95 | |
| Continuous SparsificationBackbone=ResNet-50, Protocol=Fine-tuned2019.12 | 70 | 98 | |
| Continuous SparsificationBackbone=ResNet-50, Protocol=Re-trained2019.12 | 69.6 | 97.1 | |
| IMPBackbone=ResNet-50, Protocol=Re-trained2019.12 | 69.2 | 95 | |
| DNWBackbone=ResNet-50, Protocol=Fine-tuned2019.12 | 68.3 | 95 | |
| Continuous SparsificationBackbone=ResNet-50, Protocol=Re-trained2019.12 | 67.9 | 98 | |
| STRBackbone=ResNet-50, Protocol=Fine-tuned2019.12 | 67.2 | 96.5 | |
| Continuous SparsificationBackbone=ResNet-50, Protocol=Fine-tuned2019.12 | 66.8 | 98.9 | |
| Continuous SparsificationBackbone=ResNet-50, Protocol=Re-trained2019.12 | 64.9 | 98.9 | |
| STRBackbone=ResNet-50, Protocol=Fine-tuned2019.12 | 61.5 | 98.5 | |
| DNWBackbone=ResNet-50, Protocol=Fine-tuned2019.12 | 58.2 | 98 | |
| GMPBackbone=ResNet-50, Protocol=Fine-tuned2019.12 | 57.9 | 98 | |
| STRBackbone=ResNet-50, Protocol=Fine-tuned2019.12 | 54.8 | 98.8 | |
| GMPBackbone=ResNet-50, Protocol=Fine-tuned2019.12 | 44.8 | 99 |