Knowledge Commons of Institute of Automation,CAS
Bi-directional Modality Fusion Network for Audio-Visual Event Localization | |
Liu, Shuo1,2; Quan, Weize1,2; Liu, Yuan3; Yan, Dong-MIng1,2 | |
2022-05 | |
会议名称 | IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
会议日期 | 2022.5.23-2022.5.27 |
会议地点 | Singapore |
摘要 | Audio and visual signals stimulate many audio-visual sensory neurons of persons to generate audio-visual contents, helping humans perceive the world. Most of the existing audio-visual event localization approaches focus on generating audio-visual features by fusing the audio and visual modalities for final predictions. However, an audio-visual adjustment mechanism exists in a complicated multi-modal perception system. Inspired by this observation, we propose a novel bi-directional modality fusion network (BMFN), which not only simply fuses audio and visual features, but also adjusts the fused features to increase their representativeness with the help of the original audio and visual contents. The high-level audio-visual features achieved from two directions with two forward-backward fusion modules and a mean operation are summarized for the final event localization. Experimental results demonstrate that our method outperforms state-of-the-art works in both fully- and weakly-supervised learning settings. The code is available at https://github.com/weizequan/BMFN.git. |
DOI | 0.1109/ICASSP43922.2022.9746280 |
收录类别 | EI |
语种 | 英语 |
七大方向——子方向分类 | 计算机图形学与虚拟现实 |
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 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/51504 |
专题 | 多模态人工智能系统全国重点实验室 |
通讯作者 | Yan, Dong-MIng |
作者单位 | 1.Nlpr, Institute of Automation, Chinese Academy of Sciences 2.School of Artificial Intelligence, University of Chinese Academy of Sciences 3.Speech Lab, Alibaba Group |
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 | Liu, Shuo,Quan, Weize,Liu, Yuan,et al. Bi-directional Modality Fusion Network for Audio-Visual Event Localization[C],2022. |
条目包含的文件 | 条目无相关文件。 |
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