EdgeCompress: coupling multi-dimensional model compression and dynamic inference for EdgeAI

• Main Authors: Kong, Hao, Liu, Di, Huai, Shuo, Luo, Xiangzhong, Subramaniam, Ravi, Makaya, Christian, Lin, Qian, Liu, Weichen
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Computer science and engineering; Embedded Systems; Neural Network Compression
• Online Access: https://hdl.handle.net/10356/171623
• Institution: Nanyang Technological University

Convolutional neural networks (CNNs) have demonstrated encouraging results in image classification tasks. However, the prohibitive computational cost of CNNs hinders the deployment of CNNs onto resource-constrained embedded devices. To address this issue, we propose, a comprehensive compression fram...