Bi-directional Interaction Network for Person Search | |
Dong, Wenkai1,3![]() ![]() ![]() ![]() | |
2020 | |
会议名称 | IEEE Conference on Computer Vision and Pattern Recognition |
会议日期 | June 16 - 18, 2020 |
会议地点 | Virtual Site |
出版者 | IEEE |
摘要 | Existing works have designed end-to-end frameworks based on Faster-RCNN for person search. Due to the large receptive fields in deep networks, the feature maps of each proposal, cropped from the stem feature maps, involve redundant context information outside the bounding boxes. However, person search is a fine-grained task which needs accurate appearance information. Such context information can make the model fail to focus on persons, so the learned representations lack the capacity to discriminate various identities. To address this issue, we propose a Siamese network which owns an additional instance-aware branch, named Bi-directional Interaction Network (BINet). During the training phase, in addition to scene images, BINet also takes as inputs person patches which help the model discriminate identities based on human appearance. Moreover, two interaction losses are designed to achieve bi-directional interaction between branches at two levels. The interaction can help the model learn more discriminative features for persons in the scene. At the inference stage, only the major branch is applied, so BINet introduces no additional computation. Extensive experiments on two widely used person search benchmarks, CUHK-SYSU and PRW, have shown that our BINet achieves state-of-the-art results among end-to-end methods without loss of efficiency. |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/48647 |
专题 | 模式识别实验室 |
通讯作者 | Zhang, Zhaoxiang |
作者单位 | 1.Center for Research on Intelligent Perception and Computing, NLPR, CASIA 2.Center for Excellence in Brain Science and Intelligence Technology, CAS 3.School of Artificial Intelligence, University of Chinese Academy of Sciences |
第一作者单位 | 模式识别国家重点实验室 |
通讯作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Dong, Wenkai,Zhang, Zhaoxiang,Song, Chunfeng,et al. Bi-directional Interaction Network for Person Search[C]:IEEE,2020. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Dong_Bi-Directional_(598KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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