Tanvir Mahmud*

PaPr: Training-Free One-Step Patch Pruning with Lightweight ConvNets for Faster Inference

"As deep neural networks evolve from convolutional neural networks (ConvNets) to advanced vision transformers (ViTs), there is an increased need to eliminate redundant data for faster processing without compromising accuracy. Previous methods are often architecture-specific or necessitate re-trainin…