Person Search

Person Search

person search旨在从一个原始的场景中找到特定的车辆，和person re-id是不同的，re-id依赖于crop的图片，search的任务更加具有现实意义。其实search的任务就是 detection + re-id

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search可用的数据集

PRW dataset：

Zheng, Liang, et al. “Person re-identification in the wild.” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2017.

CUHK-SYSU dataset:

Xiao, Tong, et al. “Joint detection and identification feature learning for person search.” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2017.

LSPS dataset:
Zhong, Yingji, Xiaoyu Wang, and Shiliang Zhang. “Robust Partial Matching for Person Search in the Wild.” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020.

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Paper

主流的方法主要分为同步和异步：

end-to-end：

[1] Liu, Hao, et al. “Neural person search machines.” Proceedings of the IEEE International Conference on Computer Vision. 2017.

[2] Lan, Xu, Xiatian Zhu, and Shaogang Gong. “Person search by multi-scale matching.” Proceedings of the European Conference on Computer Vision (ECCV). 2018.

[3] Chang, Xiaojun, et al. “RCAA: Relational context-aware agents for person search.” Proceedings of the European Conference on Computer Vision (ECCV). 2018.

[4] He, Zhenwei, and Lei Zhang. “End-to-end detection and re-identification integrated net for person search.” Asian Conference on Computer Vision. Springer, Cham, 2018.

[5] Liu, Hong, et al. “A discriminatively learned feature embedding based on multi-loss fusion for person search.” 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2018.

[6] Yan, Yichao, et al. “Learning context graph for person search.” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2019.

[7] Munjal, Bharti, et al. “Query-guided end-to-end person search.” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2019.

[8] Zhai, Sulan, et al. “FMT: fusing multi-task convolutional neural network for person search.” Multimedia Tools and Applications 78.22 (2019): 31605-31616.

[9] Munjal, Bharti, Fabio Galasso, and Sikandar Amin. “Knowledge distillation for end-to-end person search.” arXiv preprint arXiv:1909.01058 (2019).

[10] Xiao, Jimin, et al. “IAN: the individual aggregation network for person search.” Pattern Recognition 87 (2019): 332-340.

[11] Han, Chuchu, et al. “Re-id driven localization refinement for person search.” Proceedings of the IEEE International Conference on Computer Vision. 2019.

[12] Ştefan, Liviu-Daniel, et al. “Deep learning-based person search with visual attention embedding.” 2020 13th International Conference on Communications (COMM). IEEE, 2020.

[13] Chen, Zhicheng, et al. “FLAG: feature learning with additional guidance for person search.” The Visual Computer (2020): 1-9.

[14] Zheng, Dingyuan, et al. “Segmentation mask guided end-to-end person search.” Signal Processing: Image Communication (2020): 115876.

[15] Dai, Ju, et al. “Dynamic imposter based online instance matching for person search.” Pattern Recognition 100 (2020): 107120.

[16] Dong, Wenkai, et al. “Bi-Directional Interaction Network for Person Search.” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020.

[17] Di Chen14, Shanshan Zhang, et al. “Hierarchical Online Instance Matching for Person Search.” (2020).

[18] Chen, Di, et al. “Norm-Aware Embedding for Efficient Person Search.” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020.

[19] Zhang, Lei, et al. “Tasks Integrated Networks: Joint Detection and Retrieval for Image Search.” IEEE Transactions on Pattern Analysis and Machine Intelligence (2020).

two-stage：

[1] Chen, Di, et al. “Person search via a mask-guided two-stream cnn model.” Proceedings of the European Conference on Computer Vision (ECCV). 2018.

[2] Wang, Cheng, et al. “TCTS: A Task-Consistent Two-Stage Framework for Person Search.” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020.

[3] Yao, Hantao, and Changsheng Xu. “Joint Person Objectness and Repulsion for Person Search.” arXiv preprint arXiv:2006.00155 (2020).

[4] Dong, Wenkai, et al. “Instance Guided Proposal Network for Person Search.” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020.

综述：
Islam, Khawar. “Person search: New paradigm of person re-identification: A survey and outlook of recent works.” Image and Vision Computing 101 (2020): 103970.

标签：Conference,Search,person,search,al,Person,Computer,et
来源： https://blog.csdn.net/dengdeliao/article/details/111400611