An Efficient and Fast Filter Pruning Method for Object Detection in Embedded Systems
Author:
Affiliation:
1. Inha University,Department of Electrical and Computer Engineering,Incheon,Republic of Korea,22212
2. Korea National University of Education,Department of Technology Education,Cheongju,Republic of Korea,28173
Funder
National Research Foundation of Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10595550/10595552/10595873.pdf?arnumber=10595873
Reference13 articles.
1. Target Capacity Filter Pruning Method for Optimized Inference Time Based on YOLOv5 in Embedded Systems
2. CHEX: CHannel EXploration for CNN Model Compression
3. Only train once: A one-shot neural network training and pruning framework;Chen;Advances in Neural Information Processing Systems,2021
4. HRank: Filter Pruning Using High-Rank Feature Map
5. EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning
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