Generalized Inter-class Loss for Gait Recognition | |
Yu, Weichen; Yu, Hongyuan; Huang, Yan; Wang, Liang | |
2022-05 | |
会议名称 | ACM Multimedia (MM) |
会议日期 | 2022-5 |
会议地点 | Lisboa, Portugal |
摘要 | Gait recognition is a unique biometric technique that can be performed at a long distance non-cooperatively and has broad applications in public safety and intelligent traffic systems. Previous gait works focus more on minimizing the intra-class variance while ignoring the significance in constraining inter-class variance. To this end, we propose a generalized inter-class loss which resolves the inter-class variance from both sample-level feature distribution and class-level feature distribution. Instead of equal penalty strength on pair scores, the proposed loss optimizes sample-level inter-class feature distribution by dynamically adjusting the pairwise weight. Further, in class-level distribution, generalized interclass loss adds a constraint on the uniformity of inter-class feature distribution, which forces the feature representations to approximate a hypersphere and keep maximal inter-class variance. In addition, the proposed method automatically adjusts the margin between classes which enables the inter-class feature distribution to be more flexible. The proposed method can be generalized to different gait recognition networks and achieves significant improvements. We conduct a series of experiments on CASIA-B and OUMVLP, and the experimental results show that the proposed loss can significantly improve the performance and achieves the state-of-the-art performances. |
七大方向——子方向分类 | 生物特征识别 |
国重实验室规划方向分类 | 视觉信息处理 |
是否有论文关联数据集需要存交 | 否 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/52297 |
专题 | 模式识别实验室 |
通讯作者 | Wang, Liang |
作者单位 | 中国科学院自动化研究所, |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Yu, Weichen,Yu, Hongyuan,Huang, Yan,et al. Generalized Inter-class Loss for Gait Recognition[C],2022. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Generalized Inter-cl(2034KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 |
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