Hear The Flow: Optical Flow-Based Self-SupervisedVisual Sound Source LocalizationDennis Fedorishin * Deen Dayal Mohan * Bhavin Jawade Srirangaraj SetlurVenu GovindarajuUniversity at Buffalo, Buffalo, New York, USA{dcfedori,dmohan,bhavinja,setlur,govind}@buffalo.eduAbstractLearning to localize the ...
sound. In this work, we capture this characteristic by modeling the optical flow in a video as a prior to better aid in localizing the sound source. We further demonstrate that the addition of flow-based attention substantially improves visual sound source localization. Finally, we benchmark our...
Most recent work in visual sound source localization relies on semantic audio-visual representations learned in a self-supervised manner, and by design excludes temporal information present in videos. While it proves to be effective for widely used benchmark datasets, the method falls short for ...
定位模块(Localization Module): 采用注意力机制的方式计算声音的空间信息和声音特征的相关性,输出定位响应α。注意力可以解释为网格i可能是与声音上下文相关的正确位置的概率。建议使用softmax进行归一化。注意力机制采用的方法是简单粗暴的內积计算方法,为了丢弃负响应部分,作者对注意力机制做了部分改进,如下: 原文代码:...
Evidence is presented that a major factor in sound localization is the need to direct the field of best vision to a sound source for further scrutiny. Thus, species with broad fields of best vision (such as visual streaks) require less accurate information regarding the location of a sound ...
Recent studies on learning-based sound source localization have mainly focused on the localization performance perspective. However, prior work and existing benchmarks overlook a crucial aspect: cross-modal interaction, which is essential for interactive sound source localization. Cross-modal interaction ...
PyTorch code for "Self-Supervised Predictive Learning: A Negative-Free Method for Sound Source Localization in Visual Scenes" (CVPR, 2022) - zjsong/SSPL
A Light Weight Model for Active Speaker Detection 大致看下来,文章比较多的主要有两种类型,第一种是做audio-visual event localization/sound spearation等经典的audio-visual任务,第二种是乘着Diffusion大火的东风,做多模态/跨模态的generation。 编辑于 2023-05-24 17:45・北京 ...
and\(w_t\in \mathbb {R}^{k}\)is the computed attention map. The attention map visualization results show that the audio-guided attention mechanism can adaptively capture the location information of sound source (see Fig.5), and it can also improve temporal localization accuracy (see Table1...
[CVPR-2022] Self-Supervised Predictive Learning: A Negative-Free Method for Sound Source Localization in Visual Scenes Authors: Zengjie Song, Yuxi Wang, Junsong Fan, Tieniu Tan, Zhaoxiang Zhang Institution: Chinese Academy of Science; University of Chinese Academy of Sciences [CVPR-2022] Self-...