TLEE: Temporal-Wise and Layer-Wise Early Exiting Network for Efficient Video Recognition on Edge Devices
Author:
Affiliation:
1. School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China
2. Department of Computer, Mathematical and Physical Sciences, Sul Ross State University, Alpine, TX, USA
Funder
National Science Foundation of China
Beijing Municipal Natural Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/6488907/10384482/10176276.pdf?arnumber=10176276
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1. EdgeEye: A Data-Driven Approach for Optimal Deployment of Edge Video Analytics
2. A Review on State-of-the-Art Violence Detection Techniques
3. Porn Streamer Recognition in Live Video Streaming via Attention-Gated Multimodal Deep Features
4. A comprehensive study of deep video action recognition;Zhu;arXiv:2012.06567,2020
5. 2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition
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