我们首次提出了 'Black Re-ID' 这一问题,黑衣人问题在实际场景中十分常见,具有很高的研究价值。为了研究这一问题,我们建立了首个黑衣人数据库 'Black-reID'。我们同时提出了通过头肩特征辅助解决黑衣人问题的模型 Head-shoulder Adaptive Attention Network (HAA)。通过实验证明,我们的模型在解决黑衣人问题和相似衣服的reID问题上都远超现有方法,并且在解决传统条件下的reID问题时也能提高reID性能,达到SOTA的结果。引用资料[1] Liang Zheng, Liyue Shen, Lu Tian, Shengjin Wang, Jingdong Wang, and Qi Tian. 2015. Scalable Person Re-identification: A Benchmark. IEEE International Conference on Computer Vision (ICCV) (2015), 1116–1124.[2] Ergys Ristani, Francesco Solera, Roger S. Zou, Rita Cucchiara, and Carlo Tomasi. 2016. Performance Measures and a Data Set for Multi-target, Multi-camera Tracking. In European Conference on Computer Vision (ECCV) Workshops.[3] Wei Li, Rui Zhao, Tong Xiao, and Xiaogang Wang. 2014. DeepReID: Deep Filter Pairing Neural Network for Person Re-identification. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 152–159.[4] Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016. Deep Residual Learning for Image Recognition. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2016), 770–778.[5] GuanshuoWang, Yufeng Yuan, Xiong Chen, Jiwei Li, and Xi Zhou. 2018. Learning Discriminative Features with Multiple Granularities for Person Re-Identification. Proceedings of the 26th ACM international conference on Multimedia (2018).[6] Yifan Sun, Liang Zheng, Yi Yang, Qi Tian, and ShengjinWang. 2018. Beyond Part Models: Person Retrieval with Refined Part Pooling. In European Conference on Computer Vision (ECCV).[7] Max Jaderberg, Karen Simonyan, Andrew Zisserman, and Koray Kavukcuoglu.2015. Spatial Transformer Networks. In NIPS.[8] Wei-Shi Zheng, Xiang Li, Tao Xiang, Shengcai Liao, Jian-Huang Lai, and Shaogang Gong. 2015. Partial Person Re-Identification. In IEEE International Conference on Computer Vision (ICCV). 4678–4686.[9] Jiaxuan Zhuo, Zeyu Chen, Jian-Huang Lai, and GuangcongWang. 2018. Occluded Person Re-Identification. IEEE International Conference on Multimedia and Expo (ICME) (2018), 1–6.