Pedestrian attribute recognition: A survey. Xiao Wang, Shaofei Zheng, Rui Yang, Aihua Zheng, Zhe Chen, Jin Tang, and Bin Luo (2022). Pattern Recognition, 121, 108220.

Performance comparison on the PETA and RAP datasets from 2014 to 2020. We can find that the baseline method CNN-SVM is outperformed by recent deep learning based PAR approaches significantly on both large scale benchmark datasets. Interestingly, we can also find that the accuracy of current deep learning based methods is comparable, and there is no significant improvements of current methods (in 2020) compared with deep PAR algorithms proposed several years ago. So, what's next if the deep learning based PAR algorithms achieve its bottleneck?

• PAR CONTEST 2023

• WACV'23 Pedestrian Attribute Recognition and Attributed-based Person Retrieval Challenge | Data available!

Please consider citing this paper, if you find this survey useful for your research. [arXiv paper]
[PR Version]

@article{wang2021pedestrian,
  title={Pedestrian attribute recognition: A survey},
  author={Wang, Xiao and Zheng, Shaofei and Yang, Rui and Zheng, Aihua and Chen, Zhe and Tang, Jin and Luo, Bin},
  journal={Pattern Recognition},
  pages={108220},
  year={2021},
  publisher={Elsevier}
}

0. MSP60K Dataset: https://github.com/Event-AHU/OpenPAR
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2. RAP Dataset: http://rap.idealtest.org/
3. PA-100K Dataset: https://drive.google.com/drive/folders/0B5_Ra3JsEOyOUlhKM0VPZ1ZWR2M
4. WIDER Attribute Dataset: http://mmlab.ie.cuhk.edu.hk/projects/WIDERAttribute.html
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6. Market-1501_Attribute: https://github.com/vana77/Market-1501_Attribute
7. DukeMTMC-Attribute: https://github.com/vana77/DukeMTMC-attribute
8. Clothing Attributes Dataset: https://purl.stanford.edu/tb980qz1002
9. Parse27k Dataset: https://www.vision.rwth-aachen.de/page/parse27k
10. RAP 2.0 Dataset: https://drive.google.com/file/d/1hoPIB5NJKf3YGMvLFZnIYG5JDcZTxHph/view
11. CRP Dataset: http://www.vision.caltech.edu/~dhall/projects/CRP/
12. APis dataset: http://www.cbsr.ia.ac.cn/english/APiS-1.0-Database.html. (Failed)
13. Berkeley-Attributes of People dataset: https://www2.eecs.berkeley.edu/Research/Projects/CS/vision/shape/poselets/
14. Deepfashion dataset: http://mmlab.ie.cuhk.edu.hk/projects/DeepFashion.html
15. Video-Based PAR dataset: https://github.com/yuange250/MARS-Attribute
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