Exploring attribute localization and correlation for pedestrian attribute recognition

Author:

Weng Dunfang,Tan Zichang,Fang Liwei,Guo Guodong

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference66 articles.

1. Improving person re-identification by attribute and identity learning;Lin;Pattern Recogn.,2019

2. Deep learning-based methods for person re-identification: A comprehensive review;Wu;Neurocomputing,2019

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4. Attribute recognition by joint recurrent learning of context and correlation;Wang,2017

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1. Advancing zero-shot semantic segmentation through attribute correlations;Neurocomputing;2024-08

2. Attribute-Aware Network for Pedestrian Attribute Recognition;2024 IEEE International Conference on Multimedia and Expo Workshops (ICMEW);2024-07-15

3. SSPNet: Scale and spatial priors guided generalizable and interpretable pedestrian attribute recognition;Pattern Recognition;2024-04

4. Let’s Observe Them Over Time: An Improved Pedestrian Attribute Recognition Approach;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

5. POAR: Towards Open Vocabulary Pedestrian Attribute Recognition;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

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