Knowledge Commons of Institute of Automation,CAS
Cascaded Decoding and Multi-Stage Inference for Spatio-Temporal Video Grounding | |
Li Yang1,2; Peixuan Wu1,2; Chunfeng Yuan1; Bing Li1; Weiming Hu1,2,3 | |
2022-10 | |
会议名称 | Proceedings of the 4th on Person in Context Workshop |
会议日期 | 2022-10 |
会议地点 | Lisbon, Portugal |
摘要 | Human-centric spatio-temporal video grounding (HC-STVG) is a challenging task that aims to localize the spatio-temporal tube of the target person in a video based on a natural language description. In this report, we present our approach for this challenging HC-STVG task. Specifically, based on the TubeDETR framework, we propose two cascaded decoders to decouple spatial and temporal grounding, which allows the model to capture respective favorable features for these two grounding subtasks. We also devise a multi-stage inference strategy to reason about the target in a coarse-to-fine manner and thereby produce more precise grounding results for the target. To further improve accuracy, we propose a model ensemble strategy that incorporates the results of models with better performance in spatial or temporal grounding. We validated the effectiveness of our proposed method on the HC-STVG 2.0 dataset and won second place in the HC-STVG track of the 4th Person in Context (PIC) workshop at ACM MM 2022. |
其他摘要 |
|
收录类别 | EI |
七大方向——子方向分类 | 目标检测、跟踪与识别 |
国重实验室规划方向分类 | 多模态协同认知 |
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/173211/52323 |
专题 | 多模态人工智能系统全国重点实验室_视频内容安全 |
通讯作者 | Chunfeng Yuan |
作者单位 | 1.National Laboratory of Pattern Recognition, 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 | 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 | Li Yang,Peixuan Wu,Chunfeng Yuan,et al. Cascaded Decoding and Multi-Stage Inference for Spatio-Temporal Video Grounding[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 | ||
Cascaded Decoding an(1313KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论