How Do Optical Flow and Textual Prompts Collaborate to Assist in Audio-Visual Semantic Segmentation?

Researchers introduce Stepping Stone Plus (SSP), a novel framework that combines optical flow and textual prompts to improve audio-visual semantic segmentation. The method outperforms existing approaches by using motion dynamics for moving sound sources and textual descriptions for stationary objects, with a visual-textual alignment module for better cross-modal integration.

• →SSP framework integrates optical flow to capture motion dynamics of moving sound-emitting objects for better segmentation.
• →The method uses dual textual prompts to identify sound-emitting object categories and provide broader scene descriptions.
• →A visual-textual alignment module facilitates cross-modal integration for more coherent semantic interpretations.
• →The approach addresses both moving and stationary sound sources through different specialized techniques.
• →Experimental results show SSP outperforms existing audio-visual segmentation methods in efficiency and precision.