Object Recognition Network using Continuous Roadside Cameras
Author:
Affiliation:
1. Tokyo Institute of Technology,Tokyo,Japan
Funder
National Institute of Information and Communications Technology
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9860273/9860350/09860677.pdf?arnumber=9860677
Reference14 articles.
1. Vehicle Re-identification for Automatic Video Traffic Surveillance
2. Vehicle Re-Identification Based on Complementary Features
3. Yolo v3-tiny: Object detection and recognition using one stage improved model;adarsh;2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS),2020
4. VehicleNet: Learning Robust Visual Representation for Vehicle Re-Identification
5. The 5th AI City Challenge
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1. Roadside Lidar Object Detection Based on Improved Second;2024 6th International Conference on Communications, Information System and Computer Engineering (CISCE);2024-05-10
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3. DRL Connects Lyapunov in Delay and Stability Optimization for Offloading Proactive Sensing Tasks of RSUs;IEEE Transactions on Mobile Computing;2023
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