Pedestrian-Attribute-Recognition-Paper-List

The paper list of person attribute recognition

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Dataset:

PETA Dataset: http://mmlab.ie.cuhk.edu.hk/projects/PETA.html
RAP Dataset: http://rap.idealtest.org/
PA-100K Dataset: https://drive.google.com/drive/folders/0B5_Ra3JsEOyOUlhKM0VPZ1ZWR2M
WIDER Attribute Dataset: http://mmlab.ie.cuhk.edu.hk/projects/WIDERAttribute.html
Database of Human Attributes (HAT): https://jurie.users.greyc.fr/datasets/hat.html
Market-1501_Attribute: https://github.com/vana77/Market-1501_Attribute
DukeMTMC-Attribute: https://github.com/vana77/DukeMTMC-attribute
Clothing Attributes Dataset: https://purl.stanford.edu/tb980qz1002
Parse27k Dataset: https://www.vision.rwth-aachen.de/page/parse27k
RAP 2.0 Dataset: https://drive.google.com/file/d/1hoPIB5NJKf3YGMvLFZnIYG5JDcZTxHph/view
CRP Dataset: http://www.vision.caltech.edu/~dhall/projects/CRP/
APis dataset: http://www.cbsr.ia.ac.cn/english/APiS-1.0-Database.html. (Failed)
Berkeley-Attributes of People dataset: https://www2.eecs.berkeley.edu/Research/Projects/CS/vision/shape/poselets/
Deepfashion dataset: http://mmlab.ie.cuhk.edu.hk/projects/DeepFashion.html
Video-Based PAR dataset: https://github.com/yuange250/MARS-Attribute

Code:

A baseline model ( pytorch implementation ) for person attribute recognition task, training and testing on Market1501-attribute and DukeMTMC-reID-attribute dataset. https://github.com/hyk1996/Person-Attribute-Recognition-MarketDuke

DeepMAR from "Multi-attribute learning for pedestrian attribute recognition": https://github.com/kyu-sz/DeepMAR_deploy

Multi-attribute Learning for Pedestrian Attribute Recognition in Surveillance Scenarios, Dangwei Li and Xiaotang Chen and Kaiqi Huang, ACPR 2015: https://github.com/dangweili/pedestrian-attribute-recognition-pytorch

Multi-label Image Recognition by Recurrently Discovering Attentional Regions (Pytorch implementation): https://github.com/James-Yip/AttentionImageClass

A Richly Annotated Pedestrian Dataset for Person Retrieval in Real Surveillance Scenarios: Li, Dangwei and Zhang, Zhang and Chen, Xiaotang and Huang, Kaiqi, IEEE Transactions on Image Processing 2019: https://github.com/dangweili/RAP

PatchIt (BMVC-2016): https://github.com/psudowe/patchit

PANDA (CVOR-2014): https://github.com/facebookarchive/pose-aligned-deep-networks

HydraPlus-Net (ICCV-2017): https://github.com/xh-liu/HydraPlus-Net

WPAL-network (BMVC-2014) https://github.com/YangZhou1994/WPAL-network

Deep Imbalanced Attribute Classification using Visual Attention Aggregation (ECCV-2018): https://github.com/cvcode18/imbalanced_learning

The paper list of person attribute recognition:

[1] Deng, Yubin, Ping Luo, Chen Change Loy, and Xiaoou Tang. "Pedestrian attribute recognition at far distance." In Proceedings of the 22nd ACM international conference on Multimedia, pp. 789-792. ACM, 2014. Paper Project Page

[2] Sudowe, Patrick, Hannah Spitzer, and Bastian Leibe. "Person attribute recognition with a jointly-trained holistic cnn model." In Proceedings of the IEEE International Conference on Computer Vision Workshops, pp. 87-95. 2015. Paper Project Page

[3] Zhu, Jianqing, Shengcai Liao, Zhen Lei, Dong Yi, and Stan Li. "Pedestrian attribute classification in surveillance: Database and evaluation." In Proceedings of the IEEE International Conference on Computer Vision Workshops, pp. 331-338. 2013. Paper

[4] Li, Dangwei, Zhang Zhang, Xiaotang Chen, Haibin Ling, and Kaiqi Huang. "A richly annotated dataset for pedestrian attribute recognition." arXiv preprint arXiv:1603.07054 (2016). Paper Project Page

[5] Fabbri, Matteo, Simone Calderara, and Rita Cucchiara. "Generative adversarial models for people attribute recognition in surveillance." In Advanced Video and Signal Based Surveillance (AVSS), 2017 14th IEEE International Conference on, pp. 1-6. IEEE, 2017. Paper

[6] Guo, Qi, Ce Zhu, Zhiqiang Xia, Zhengtao Wang, and Yipeng Liu. "Attribute-controlled face photo synthesis from simple line drawing." In Image Processing (ICIP), 2017 IEEE International Conference on, pp. 2946-2950. IEEE, 2017. Paper

[7] Yan, Xinchen, Jimei Yang, Kihyuk Sohn, and Honglak Lee. "Attribute2image: Conditional image generation from visual attributes." In European Conference on Computer Vision, pp. 776-791. Springer, Cham, 2016.

[8] Hand, Emily M., and Rama Chellappa. "Attributes for Improved Attributes: A Multi-Task Network Utilizing Implicit and Explicit Relationships for Facial Attribute Classification." In AAAI, pp. 4068-4074. 2017.

[9] Yang, L. , Zhu, L. , Wei, Y. , Liang, S. , & Tan, P. . (2016). Attribute recognition from adaptive parts.

[10] Park, Seyoung, and Song-Chun Zhu. "Attributed grammars for joint estimation of human attributes, part and pose." In Proceedings of the IEEE International Conference on Computer Vision, pp. 2372-2380. 2015.

[11] Gkioxari, Georgia, Ross Girshick, and Jitendra Malik. "Actions and attributes from wholes and parts." In Proceedings of the IEEE International Conference on Computer Vision, pp. 2470-2478. 2015.

[12] Li, Yining, Chen Huang, Chen Change Loy, and Xiaoou Tang. "Human attribute recognition by deep hierarchical contexts." In European Conference on Computer Vision, pp. 684-700. Springer, Cham, 2016. Paper

[13] Zhang, Ning, Manohar Paluri, Marc'Aurelio Ranzato, Trevor Darrell, and Lubomir Bourdev. "Panda: Pose aligned networks for deep attribute modeling." In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 1637-1644. 2014. Paper Code

[14] Bourdev, Lubomir, Subhransu Maji, and Jitendra Malik. "Describing people: A poselet-based approach to attribute classification." In Computer Vision (ICCV), 2011 IEEE International Conference on, pp. 1543-1550. IEEE, 2011.

[15] Li, Dangwei, Xiaotang Chen, Zhang Zhang, and Kaiqi Huang. "Pose Guided Deep Model for Pedestrian Attribute Recognition in Surveillance Scenarios." In 2018 IEEE International Conference on Multimedia and Expo (ICME), pp. 1-6. IEEE, 2018. Paper: http://dangweili.github.io/misc/pdfs/icme18.pdf

[16] Wang, Jingya, Xiatian Zhu, Shaogang Gong, and Wei Li. "Attribute Recognition by Joint Recurrent Learning of Context and Correlation." In Computer Vision (ICCV), 2017 IEEE International Conference on, pp. 531-540. IEEE, 2017.

[17] Chen, Tianshui, Zhouxia Wang, Guanbin Li, and Liang Lin. "Recurrent Attentional Reinforcement Learning for Multi-label Image Recognition." AAAI2018 Paper: http://www.linliang.net/wp-content/uploads/2018/01/AAAI2018_AttentionRL.pdf

[18] Wang, Z., Chen, T., Li, G., Xu, R., & Lin, L. (2017, October). Multi-label Image Recognition by Recurrently Discovering Attentional Regions. In Computer Vision (ICCV), 2017 IEEE International Conference on (pp. 464-472). IEEE. Paper: http://openaccess.thecvf.com/content_ICCV_2017/papers/Wang_Multi-Label_Image_Recognition_ICCV_2017_paper.pdf Code: https://github.com/James-Yip/AttentionImageClass

[19] Wang, Jiang, Yi Yang, Junhua Mao, Zhiheng Huang, Chang Huang, and Wei Xu. "Cnn-rnn: A unified framework for multi-label image classification." In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 2285-2294. 2016.

[20] Trigeorgis, George, Konstantinos Bousmalis, Stefanos Zafeiriou, and Björn W. Schuller. "A deep matrix factorization method for learning attribute representations." IEEE transactions on pattern analysis and machine intelligence 39, no. 3 (2017): 417-429.

[21] Lampert, Christoph H., Hannes Nickisch, and Stefan Harmeling. "Attribute-based classification for zero-shot visual object categorization." IEEE Transactions on Pattern Analysis and Machine Intelligence 36, no. 3 (2014): 453-465.

[22] Lin, Yutian, Liang Zheng, Zhedong Zheng, Yu Wu, and Yi Yang. "Improving person re-identification by attribute and identity learning." arXiv preprint arXiv:1703.07220 (2017).

[23] Liu, Xihui, Haiyu Zhao, Maoqing Tian, Lu Sheng, Jing Shao, Shuai Yi, Junjie Yan, and Xiaogang Wang. "Hydraplus-net: Attentive deep features for pedestrian analysis." arXiv preprint arXiv:1709.09930 (2017). Code: https://github.com/xh-liu/HydraPlus-Net

[24] Fouhey, David F., Abhinav Gupta, and Andrew Zisserman. "3D shape attributes." In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1516-1524. 2016.

[25] Fouhey, David F., Abhinav Gupta, and Andrew Zisserman. "Understanding higher-order shape via 3D shape attributes." IEEE TPAMI (2017).

[26] Zhou, Yang, Kai Yu, Biao Leng, Zhang Zhang, Dangwei Li, Kaiqi Huang, Bailan Feng, and Chunfeng Yao. "Weakly-supervised learning of mid-level features for pedestrian attribute recognition and localization." In BMVC. 2017. Paper: Code: https://github.com/YangZhou1994/WPAL-network

[27] Wang, Jing, Yu Cheng, and Rogerio Schmidt Feris. "Walk and learn: Facial attribute representation learning from egocentric video and contextual data." In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 2295-2304. 2016.

[28] Su, Jong-Chyi, Chenyun Wu, Huaizu Jiang, and Subhransu Maji. "Reasoning about fine-grained attribute phrases using reference games." arXiv preprint arXiv:1708.08874 (2017).

[29] Dong, Qi, Shaogang Gong, and Xiatian Zhu. "Multi-task curriculum transfer deep learning of clothing attributes." In Applications of Computer Vision (WACV), 2017 IEEE Winter Conference on, pp. 520-529. IEEE, 2017.

[30] Li, Dangwei, Xiaotang Chen, and Kaiqi Huang. "Multi-attribute learning for pedestrian attribute recognition in surveillance scenarios." In Pattern Recognition (ACPR), 2015 3rd IAPR Asian Conference on, pp. 111-115. IEEE, 2015.

[31] Kalayeh, Mahdi M., Boqing Gong, and Mubarak Shah. "Improving facial attribute prediction using semantic segmentation." In Computer Vision and Pattern Recognition (CVPR), 2017 IEEE Conference on, pp. 4227-4235. IEEE, 2017.

[32] Lu, Yongxi, Abhishek Kumar, Shuangfei Zhai, Yu Cheng, Tara Javidi, and Rogério Schmidt Feris. "Fully-adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification." In CVPR, vol. 1, no. 2, p. 6. 2017.

[32] Sarafianos, Nikolaos, Xiang Xu, and Ioannis A. Kakadiaris. "Deep Imbalanced Attribute Classification using Visual Attention Aggregation." In Proceedings of the European Conference on Computer Vision (ECCV), pp. 680-697. 2018. Paper: http://openaccess.thecvf.com/content_ECCV_2018/papers/Nikolaos_Sarafianos_Deep_Imbalanced_Attribute_ECCV_2018_paper.pdf Code: https://github.com/cvcode18/imbalanced_learning

[33] Li, Mu, Wangmeng Zuo, and David Zhang. "Deep identity-aware transfer of facial attributes." arXiv preprint arXiv:1610.05586 (2016).

[34] He, Keke, Zhanxiong Wang, Yanwei Fu, Rui Feng, Yu-Gang Jiang, and Xiangyang Xue. "Adaptively Weighted Multi-task Deep Network for Person Attribute Classification." In Proceedings of the 2017 ACM on Multimedia Conference, pp. 1636-1644. ACM, 2017. https://dl.acm.org/citation.cfm?id=3123424

[35] Sarfraz, M. Saquib, Arne Schumann, Yan Wang, and Rainer Stiefelhagen. "Deep View-Sensitive Pedestrian Attribute Inference in an end-to-end Model." arXiv preprint arXiv:1707.06089 (2017). https://arxiv.org/pdf/1707.06089.pdf

[36] Liu, Xihui, Haiyu Zhao, Maoqing Tian, Lu Sheng, Jing Shao, Shuai Yi, Junjie Yan, and Xiaogang Wang. "HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis." In Proceedings of the IEEE International Conference on Computer Vision, pp. 350-359. 2017. Paper: http://openaccess.thecvf.com/content_ICCV_2017/papers/Liu_HydraPlus-Net_Attentive_Deep_ICCV_2017_paper.pdf Code: https://github.com/xh-liu/HydraPlus-Net

[37] Xin Zhao; Liufang Sang; guiguang ding; Jungong Han; Na Di; Chenggang Yan, Recurrent Attention Model for Pedestrian Attribute Recognition, AAAI-2019

[38] Qiaozhe Li*; Xin Zhao; Ran He; KAIQI HUANG, Visual-semantic Graph Reasoning for Pedestrian Attribute Recognition, AAAI-2019

[39] Zhao, Xin, Liufang Sang, Guiguang Ding, Yuchen Guo, and Xiaoming Jin. "Grouping Attribute Recognition for Pedestrian with Joint Recurrent Learning." In IJCAI, pp. 3177-3183. 2018. Paper

[40] Diba, Ali, Ali Mohammad Pazandeh, Hamed Pirsiavash, and Luc Van Gool. "Deepcamp: Deep convolutional action & attribute mid-level patterns." In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3557-3565. 2016. Paper

[41] Park, Seyoung, Bruce Xiaohan Nie, and Song-Chun Zhu. "Attribute and-or grammar for joint parsing of human pose, parts and attributes." IEEE transactions on pattern analysis and machine intelligence 40, no. 7 (2018): 1555-1569. Paper

[42] Guo, Hao, Xiaochuan Fan, and Song Wang. "Human attribute recognition by refining attention heat map." Pattern Recognition Letters 94 (2017): 38-45. Paper

[43] Sarafianos, Nikolaos, Theodore Giannakopoulos, Christophoros Nikou, and Ioannis A. Kakadiaris. "Curriculum Learning for Multi-Task Classification of Visual Attributes." In Proceedings of the IEEE International Conference on Computer Vision, pp. 2608-2615. 2017. Paper

[44] Sarafianos, Nikolaos, Theodoros Giannakopoulos, Christophoros Nikou, and Ioannis A. Kakadiaris. "Curriculum learning of visual attribute clusters for multi-task classification." Pattern Recognition 80 (2018): 94-108. Paper

[45] Li, Dangwei, Zhang Zhang, Xiaotang Chen, and Kaiqi Huang. "A richly annotated pedestrian dataset for person retrieval in real surveillance scenarios." IEEE transactions on image processing 28, no. 4 (2019): 1575-1590. Paper Code

[46] Liu, Hao, Jingjing Wu, Jianguo Jiang, Meibin Qi, and Ren Bo. "Sequence-based Person Attribute Recognition with Joint CTC-Attention Model." arXiv preprint arXiv:1811.08115 (2018). Paper

[47] Joo, Jungseock, Shuo Wang, and Song-Chun Zhu. "Human attribute recognition by rich appearance dictionary." In Proceedings of the IEEE International Conference on Computer Vision, pp. 721-728. 2013. Paper

[48] Sharma, G. and Jurie, F., 2011, August. Learning discriminative spatial representation for image classification. In BMVC 2011-British Machine Vision Conference (pp. 1-11). BMVA Press. Paper

[49] Hall, David, and Pietro Perona. "Fine-grained classification of pedestrians in video: Benchmark and state of the art." In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 5482-5491. 2015. Paper

[50] Liu, P., Liu, X., Yan, J., & Shao, J. (2018). Localization guided learning for pedestrian attribute recognition. arXiv preprint arXiv:1808.09102. BMVC-paper

[51] Chen, Huizhong, Andrew Gallagher, and Bernd Girod. "Describing clothing by semantic attributes." European conference on computer vision. Springer, Berlin, Heidelberg, 2012.Paper

[52] Deng, Y., Luo, P., Loy, C. C., & Tang, X. (2015). Learning to recognize pedestrian attribute. arXiv preprint arXiv:1501.00901.Paper

[53] Zhu, Jianqing, et al. "Multi-label convolutional neural network based pedestrian attribute classification." Image and Vision Computing 58 (2017): 224-229. Paper

[54] Pedestrian Attribute Detection using CNN, Standford University, CS231n, 2016, Agrim Gupta and Jayanth Ramesh, Paper: http://cs231n.stanford.edu/reports/2016/pdfs/255_Report.pdf

[55] Abdulnabi, Abrar H., Gang Wang, Jiwen Lu, and Kui Jia. "Multi-task CNN model for attribute prediction." IEEE Transactions on Multimedia 17, no. 11 (2015): 1949-1959. Paper

[56] Sudowe, Patrick, and Bastian Leibe. "PatchIt: Self-Supervised Network Weight Initialization for Fine-grained Recognition" In BMVC. 2016. Code

[57] Zhu, Jianqing, Shengcai Liao, Dong Yi, Zhen Lei, and Stan Z. Li. "Multi-label cnn based pedestrian attribute learning for soft biometrics." In Biometrics (ICB), 2015 International Conference on, pp. 535-540. IEEE, 2015.

[58] Yamaguchi, Kota, Takayuki Okatani, Kyoko Sudo, Kazuhiko Murasaki, and Yukinobu Taniguchi. "Mix and Match: Joint Model for Clothing and Attribute Recognition." In BMVC, vol. 1, no. 2, p. 4. 2015.

[59] Liu, Ziwei, Ping Luo, Shi Qiu, Xiaogang Wang, and Xiaoou Tang. "Deepfashion: Powering robust clothes recognition and retrieval with rich annotations." In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 1096-1104. 2016.

[60] Esube Bekele and Wallace Lawson The Deeper, the Better: Analysis of Person Attributes Recognition, submitted to FG2019

[61] Zhiyuan Chen, Annan Li, and Yunhong Wang, Video-Based Pedestrian Attribute Recognition, arXiv paper, dataset

[62]

Applications (Person Attribute based Tasks)

Person Re-ID based on Attributes Su, Chi, Shiliang Zhang, Junliang Xing, Wen Gao, and Qi Tian. "Deep attributes driven multi-camera person re-identification." In European conference on computer vision, pp. 475-491. Springer, Cham, 2016.

Layne, Ryan, Timothy M. Hospedales, and Shaogang Gong. "Towards person identification and re-identification with attributes." In European Conference on Computer Vision, pp. 402-412. Springer, Berlin, Heidelberg, 2012.

Layne, Ryan, Timothy M. Hospedales, Shaogang Gong, and Q. Mary. "Person re-identification by attributes." In Bmvc, vol. 2, no. 3, p. 8. 2012.

Lin, Yutian, Liang Zheng, Zhedong Zheng, Yu Wu, and Yi Yang. "Improving person re-identification by attribute and identity learning." arXiv preprint arXiv:1703.07220 (2017).

Khamis, Sameh, Cheng-Hao Kuo, Vivek K. Singh, Vinay D. Shet, and Larry S. Davis. "Joint learning for attribute-consistent person re-identification." In European Conference on Computer Vision, pp. 134-146. Springer, Cham, 2014.

Layne, Ryan, Timothy M. Hospedales, and Shaogang Gong. "Attributes-based re-identification." In Person Re-Identification, pp. 93-117. Springer, London, 2014.

Li, Annan, Luoqi Liu, Kang Wang, Si Liu, and Shuicheng Yan. "Clothing attributes assisted person reidentification." IEEE Transactions on Circuits and Systems for Video Technology 25, no. 5 (2015): 869-878.

Schumann, Arne, and Rainer Stiefelhagen. "Person re-identification by deep learning attribute-complementary information." In Computer Vision and Pattern Recognition Workshops (CVPRW), 2017 IEEE Conference on, pp. 1435-1443. IEEE, 2017.

Pedestrian Detection based on Attributes

Tian, Yonglong, Ping Luo, Xiaogang Wang, and Xiaoou Tang. "Pedestrian detection aided by deep learning semantic tasks." In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 5079-5087. 2015.

Person Retrieval based on Attributes

Wang, Xianwang, Tong Zhang, Daniel R. Tretter, and Qian Lin. "Personal clothing retrieval on photo collections by color and attributes." IEEE Transactions on Multimedia 15, no. 8 (2013): 2035-2045.

Feris, Rogerio, Russel Bobbitt, Lisa Brown, and Sharath Pankanti. "Attribute-based people search: Lessons learnt from a practical surveillance system." In Proceedings of International Conference on Multimedia Retrieval, p. 153. ACM, 2014.

Action Recognition and Scene Understanding

Liu, Jingen, Benjamin Kuipers, and Silvio Savarese. "Recognizing human actions by attributes." In Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on, pp. 3337-3344. IEEE, 2011.

Shao, Jing, Kai Kang, Chen Change Loy, and Xiaogang Wang. "Deeply learned attributes for crowded scene understanding." In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 4657-4666. 2015.

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