Model Pruning on ImageNet (test)
81.03Induced SparsityDFPC
Evaluation results
| Method | Links | ||
|---|---|---|---|
| DFPCMemory Footprint=O(N * n_max^2 + n_max * D)*, Backbone=ResNet-502026.02 | 81.03 | -3.38 | |
| DepGraphMemory Footprint=O(N * D * n_max^3)*, Backbone=ResNet-502026.02 | 77.39 | -3.11 | |
| Fine-PruningMemory Footprint=O(Σ_{i=1}^L n_{i-1} * n_i), Backbone=ResNet-502026.02 | 65 | 67.2 | |
| BackpropagationMemory Footprint=O(N * Σ_{i=1}^L n_{i-1} * n_i), Backbone=ResNet-502026.02 | 0 | 55.2 | |
| SVDMemory Footprint=O(N * Σ_{i=1}^L min(n_i * n_{i-1}^2, n_i^2 * n_{i-1})), Backbone=ResNet-502026.02 | 0 | 56.6 |