Jie Xie

Deep Model Pruning without Finetuning for Few Category Datasets

Current deep model pruning methods mainly focus on large datasets and often involve finetuning before deployment. However, in real-world applications, pruning is typically needed for open scenarios with few classification categories, where fine-tuning should be avoided to preserve the generalization…