Exploiting approximation, caching and specialization to accelerate vision sensing applications

• Main Author: HUYNH, Nguyen Loc
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Deep learning; deep neural network; mobile deep learning; model approximation; model pruning; specialized model; multi-exit models; anytime neural network; Programming Languages and Compilers; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/etd_coll/242; https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1242&context=etd_coll
• Institution: Singapore Management University

Over the past few years, deep learning has emerged as state-of-the-art solutions for many challenging computer vision tasks such as face recognition, object detection, etc. Despite of its outstanding performance, deep neural networks (DNNs) are computational intensive, which prevent them to be widel...