Lossy intermediate deep learning feature compression and evaluation

• Main Authors: Chen, Zhuo, Fan, Kui, Wang, Shiqi, Duan, Ling-Yu, Lin, Weisi, Kot, Alex
• Other Authors: Interdisciplinary Graduate School (IGS)
• Format: Conference or Workshop Item
• Language: English
• Published: 2020
• Subjects: Engineering::Computer science and engineering; Feature Compression; Deep Learning
• Online Access: https://hdl.handle.net/10356/144189
• Institution: Nanyang Technological University

With the unprecedented success of deep learning in computer vision tasks, many cloud-based visual analysis applications are powered by deep learning models. However, the deep learning models are also characterized with high computational complexity and are task-specific, which may hinder the large-s...