论文标题
Maivar：多模式音频图像和视频动作识别器
MAiVAR: Multimodal Audio-Image and Video Action Recognizer
论文作者
论文摘要
当前，行动识别主要是在CNN处理的视频数据上执行的。我们研究CNN的表示过程是否也可以通过将基于图像的动作音频表示为任务中的多模式动作识别。为此，我们提出了多模式的音频图像和视频动作识别器（MAIVAR），这是一个基于CNN的音频图像到视频融合模型，以视频和音频方式来实现卓越的动作识别性能。 Maivar提取音频的有意义的图像表示，并将其与视频表示形式融合在一起，以获得更好的性能，与大规模动作识别数据集中的两种模式相比。
Currently, action recognition is predominately performed on video data as processed by CNNs. We investigate if the representation process of CNNs can also be leveraged for multimodal action recognition by incorporating image-based audio representations of actions in a task. To this end, we propose Multimodal Audio-Image and Video Action Recognizer (MAiVAR), a CNN-based audio-image to video fusion model that accounts for video and audio modalities to achieve superior action recognition performance. MAiVAR extracts meaningful image representations of audio and fuses it with video representation to achieve better performance as compared to both modalities individually on a large-scale action recognition dataset.
