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

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.

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] …

[12]Hong, Zheran, et al. “Scale Voting With Pyramidal Feature Fusion Network for Person Search.” IEEE Access 7 (2019): 139692-139702.

[13]Xue, Rui, et al. “Person Search with Joint Detection, Segmentation and Re-identification.” International Conference on Human Centered Computing. Springer, Cham, 2019.

[14]Loesch, Angelique, Jaonary Rabarisoa, and Romaric Audigier. “End-To-End Person Search Sequentially Trained On Aggregated Dataset.” 2019 IEEE International Conference on Image Processing (ICIP). IEEE, 2019.

[15]Lu, Yan, et al. “Dhff: Robust Multi-Scale Person Search by Dynamic Hierarchical Feature Fusion.” 2019 IEEE International Conference on Image Processing (ICIP). IEEE, 2019.

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

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

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

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

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

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

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

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

[24]Shi, Wei, Hong Liu, and Mengyuan Liu. “Identity-sensitive loss guided and instance feature boosted deep embedding for person search.” Neurocomputing 415 (2020): 1-14.

[25]Tian, Kun, et al. “End-to-End Thorough Body Perception for Person Search.” AAAI. 2020.

[26]Chen, Haoran, et al. “Improved Model Structure with Cosine Margin OIM Loss for End-to-End Person Search.” International Conference on Multimedia Modeling. Springer, Cham, 2020.

[27]Liu, Qing, Keyang Cheng, and Bin Wu. “Person Search via Anchor-Free Detection and Part-Based Group Feature Similarity Estimation.” Chinese Conference on Pattern Recognition and Computer Vision (PRCV). Springer, Cham, 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]Han, Chuchu, et al. “Re-id driven localization refinement for person search.” Proceedings of the IEEE International Conference on Computer Vision. 2019.

[3] 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.

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

[5] 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.

Else:

Song, Binbin, et al. “Improving Person Search by Adaptive Feature Pyramid-based Multi-Scale Matching.” 2019 IEEE Visual Communications and Image Processing (VCIP). IEEE, 2019.

Huang, Zhongjie, Songlin Sun, and Yuhao Liu. “Person Search Based on Attention Mechanism.” 2019 19th International Symposium on Communications and Information Technologies (ISCIT). IEEE, 2019.

Li, Jianheng, et al. “Fast Person Search Pipeline.” 2019 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2019.

Gao, Cunyuan, et al. “Structure-aware person search with self-attention and online instance aggregation matching.” Neurocomputing 369 (2019): 29-38.

Zhang, Huimei, Changhong Chen, and Zongliang Gan. “Person Search Based on Improved Joint Learning Network.” Proceedings of the 3rd International Conference on Computer Science and Application Engineering. 2019.

Yao, Rui, et al. “GAN-based person search via deep complementary classifier with center-constrained Triplet loss.” Pattern Recognition (2020): 107350.

Chen, Di, et al. “Person Search by Separated Modeling and A Mask-Guided Two-Stream CNN Model.” IEEE Transactions on Image Processing 29 (2020): 4669-4682.

Yan, Lan, et al. “Weakly Supervised Person Search.” 2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA). IEEE, 2020.

Park, Jicheol, et al. “Learning Discriminative Part Features Through Attentions For Effective And Scalable Person Search.” 2020 IEEE International Conference on Image Processing (ICIP). IEEE, 2020.

Liu, Jiawei, et al. “Dual Context-Aware Refinement Network for Person Search.” Proceedings of the 28th ACM International Conference on Multimedia. 2020.

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