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Cross-modal Cognitive Consensus guided Network (C3N) for Audio-Visual Segmentation

Audio-Visual Segmentation (AVS) aims to extract the sounding object from a video frame, which is represented by a pixel-wise segmentation mask for application scenarios such as multi-modal video editing, augmented reality, and intelligent robot systems.

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Cite this as

Zhaofeng Shi, Qingbo Wu, Fanman Meng, Hongliang Li (2024). Dataset: Cross-modal Cognitive Consensus guided Network (C3N) for Audio-Visual Segmentation. https://doi.org/10.57702/aifu6v21

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Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.2310.06259
Author	Zhaofeng Shi
More Authors	Qingbo Wu Fanman Meng Hongliang Li
Homepage	https://github.com/ZhaofengSHI/AVS-C3N