Knowledge Commons of Institute of Automation,CAS
MENet: A Memory-Based Network with Dual-Branch for Efficient Event Stream Processing | |
Linhui Sun; Yifan Zhang; Ke Cheng; Jian Cheng; Hanqing Lu | |
2022-06 | |
会议名称 | In Proceedings of the European Conference on Computer Vision |
会议日期 | 2022-6 |
会议地点 | TELAVIV |
摘要 | Event cameras are bio-inspired sensors that asynchronously capture per-pixel brightness change and trigger a stream of events instead of frame-based images. Each event stream is generally split into multiple sliding windows for subsequent processing. However, most existing event-based methods ignore the motion continuity between adjacent spatiotemporal windows, which will result in the loss of dynamic information and additional computational costs. To efficiently extract strong features for event streams containing dynamic information, this paper proposes a novel memory-based network with dual-branch, namely MENet. It contains a base branch with a full-sized event point-wise processing structure to extract the base features and an incremental branch equipped with a light-weighted network to capture the temporal dynamics between two adjacent spatiotemporal windows. For enhancing the features, especially in the incremental branch, a point-wise memory bank is designed, which sketches the representative information of event feature space. Compared with the base branch, the incremental branch reduces the computational complexity up to 5 times and improves the speed by 19 times. Experiments show that MENet significantly reduces the computational complexity compared with previous methods while achieving state-of-the-art performance on gesture recognition and object recognition. |
关键词 | Event-based model Dual-branch structure Memory bank |
收录类别 | EI |
七大方向——子方向分类 | 图像视频处理与分析 |
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/173211/54539 |
专题 | 紫东太初大模型研究中心_图像与视频分析 |
通讯作者 | Yifan Zhang |
作者单位 | 1.Institute of Automation, Chinese Academy of Sciences 2.School of Artificial Intelligence, University of Chinese Academy of Sciences |
推荐引用方式 GB/T 7714 | Linhui Sun,Yifan Zhang,Ke Cheng,et al. MENet: A Memory-Based Network with Dual-Branch for Efficient Event Stream Processing[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 | ||
menet.pdf(1728KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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