convolutional neural networks 1efficiency optimization 1embedded hardware 1model compression 1pruning 1
From the 1 of 11 linked papers with an AI index.
6 citations · 13 across the 6 of their papers we have counts for
Showing cs.CVShow all
2 papers · 1 filter
cs.CV2026★ 2 cited
Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning
Hao Kong, Di Liu, Xiangzhong Luo +5
The paper introduces TECO, a framework that jointly prunes depth, width, and input resolution of convolutional neural networks to improve speed and resource usage on embedded devic…
cs.CV2026★ 2 cited
FedTR: Federated Learning Framework with Transfer Learning for Industrial Visual Inspection
Vikash Sathiamoorthy, Shuo Huai, Hao Kong +7
Federated learning (FL) is a collaborative learning scheme to train deep learning models, where collaborating parties can consolidate their models without sharing local data with o…