Multi-View Vehicle Image Generation Network for Vehicle Re-Identification
Author:
Affiliation:
1. School of Cyberspace Security, Hangzhou Dianzi University,Hangzhou,China,310018
2. Institute for Sustainable Industries and Liveable Cities (ISILC), Victoria University,Melbourne,VIC,Australia,3030
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10615255/10615259/10615790.pdf?arnumber=10615790
Reference18 articles.
1. Beyond the Parts: Learning Multi-view Cross-part Correlation for Vehicle Re-identification
2. Part-Guided Attention Learning for Vehicle Instance Retrieval
3. Two-Level Attention Network With Multi-Grain Ranking Loss for Vehicle Re-Identification
4. Self-supervised Geometric Features Discovery via Interpretable Attention for Vehicle Re-Identification and Beyond
5. PROVID: Progressive and Multimodal Vehicle Reidentification for Large-Scale Urban Surveillance
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