Knowledge Commons of Institute of Automation,CAS
QueryProp: Object Query Propagation for High-Performance Video Object Detection | |
He, Fei1,2; Gao, Naiyu1,2; Jia, Jian1,2; Zhao, Xin1,2; Huang, Kaiqi1,2,3 | |
2022 | |
会议名称 | AAAI Conference on Artificial Intelligence |
会议录名称 | 36th AAAI Conference on Artificial Intelligence (AAAI) |
会议日期 | 2022 |
会议地点 | Virtual |
摘要 | Video object detection has been an important yet challenging topic in computer vision. Traditional methods mainly focus on designing the image-level or box-level feature propagation strategies to exploit temporal information. This paper argues that with a more effective and efficient feature propagation framework, video object detectors can gain improvement in terms of both accuracy and speed. For this purpose, this paper studies object-level feature propagation, and proposes an object query propagation (QueryProp) framework for high-performance video object detection. The proposed QueryProp contains two propagation strategies: 1) query propagation is performed from sparse key frames to dense non-key frames to reduce the redundant computation on non-key frames; 2) query propagation is performed from previous key frames to the current key frame to improve feature representation by temporal context modeling. To further facilitate query propagation, an adaptive propagation gate is designed to achieve flexible key frame selection. We conduct extensive experiments on the ImageNet VID dataset. QueryProp achieves comparable accuracy with state-of-the-art methods and strikes a decent accuracy/speed trade-off. |
收录类别 | EI |
语种 | 英语 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/48737 |
专题 | 复杂系统认知与决策实验室_智能系统与工程 |
作者单位 | 1.CRISE, Institute of Automation, Chinese Academy of Sciences 2.School of Artificial Intelligence, University of Chinese Academy of Sciences 3.CAS Center for Excellence in Brain Science and Intelligence Technology |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | He, Fei,Gao, Naiyu,Jia, Jian,et al. QueryProp: Object Query Propagation for High-Performance Video Object Detection[C],2022. |
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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 | ||
QueryProp-AAAI2022.p(1646KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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