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Huang_Egocentric_Audio-Visual_Object_Localization_CVPR_2023_paper.pdf
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🔗 Source: openaccess.thecvf.com
📊 Size: 9.35 MB
👤 Author: Chao Huang; Yapeng Tian; Anurag Kumar; Chenliang Xu
⬇️ Downloads: 137

Summary

Egocentric audio-visual object localization is a challenging task that involves associating audio with dynamic visual scenes and localizing sounding objects in egocentric videos. The task is difficult due to egomotion, which causes the viewpoint to change continuously, and out-of-view sound components that can be created when the wearer shifts their attention. To address these challenges, a geometry-aware temporal aggregation module and a cascaded feature enhancement module are proposed. The geometry-aware temporal aggregation module handles egomotion explicitly by estimating the temporal geometry transformation and updating visual representations. The cascaded feature enhancement module overcomes the issue of out-of-view sounds by disentangling visually-indicated audio representation. The approach is trained using audio-visual temporal synchronization as self-supervision, avoiding costly labeling. An Epic Sounding Object dataset is also created for evaluation purposes, and extensive experiments demonstrate that the proposed method achieves state-of-the-art localization performance in egocentric videos.

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Egocentric audio-visual object localization is a challenging task that involves associating audio with dynamic visual scenes and localizing sounding objects in...

Technical Information

  • File Format: PDF
  • File Size: 9.35 MB
  • Pages: 12
  • Language: EN
  • Author: Chao Huang; Yapeng Tian; Anurag Kumar; Chenliang Xu
  • Total Downloads: 137
  • Last Updated: 2 hours ago

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