Mondal, M., Das, B., Lall, B., Singh, P., Roy, S.D., and Joshi, S.D., 2023
Published in: Computer Vision and Image Understanding, Volume 236, p.103828,
DOI: https://doi.org/10.1016/j.cviu.2023.103828
This repository contains the code implementation for "Feature Independent Filter Pruning by Successive Layers Analysis" (FPSL). The work presents a novel approach to filter pruning in convolutional neural networks (CNNs) by analyzing filters at each layer in a feature-independent manner. This method results in a computationally efficient pruning process while maintaining the model’s accuracy.