UPAR: Unified Pedestrian Attribute Recognition and Person Retrieval
Author:
Affiliation:
1. Karlsruhe Institute of Technology
2. Fraunhofer IOSB
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10030081/10030084/10030414.pdf?arnumber=10030414
Reference50 articles.
1. Temporal Complementary Learning for Video Person Re-identification
2. Augmix: A simple data processing method to improve robustness and uncertainty;hendrycks,2019
3. Spatial and Semantic Consistency Regularizations for Pedestrian Attribute Recognition
4. ASMR: Learning Attribute-Based Person Search with Adaptive Semantic Margin Regularizer
5. Deep residual learning for image recognition;he;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2016
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