Heterogeneous Relational Complement for Vehicle Re-identification
Author:
Affiliation:
1. Beihang University,State Key Laboratory of Virtual Reality Technology and Systems, SCSE
2. Tencent Youtu Lab,Shanghai,China
3. Peking University,Department of Computer Science and Technology
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9709627/9709628/09711371.pdf?arnumber=9711371
Reference44 articles.
1. Mars: A video benchmark for large-scale person re-identification;zheng;European Conference on Computer Vision,2016
2. Fast Vehicle Identification in Surveillance via Ranked Semantic Sampling Based Embedding
3. Exploiting Multi-grain Ranking Constraints for Precisely Searching Visually-similar Vehicles
4. Linkage Based Face Clustering via Graph Convolution Network
5. Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification
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