6 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.CV2024
REPrune: Channel Pruning via Kernel Representative Selection
Mincheol Park, Dongjin Kim, Cheonjun Park +4
Channel pruning is widely accepted to accelerate modern convolutional neural networks (CNNs). The resulting pruned model benefits from its immediate deployment on general-purpose s…
cs.CV2024★ 6 cited
Catch-Up Mix: Catch-Up Class for Struggling Filters in CNN
Minsoo Kang, Minkoo Kang, Suhyun Kim
Deep learning has made significant advances in computer vision, particularly in image classification tasks. Despite their high accuracy on training data, deep learning models often…