Humans can easily perceive the direction of sound sources in a visual scene, termed sound
source localization. Recent studies on learning-based sound source localization have …

Self-supervised audio-visual source localization aims to locate sound-source objects in
video frames without extra annotations. Recent methods often approach this goal with the …

Open-vocabulary semantic segmentation is a challenging task that requires segmenting
novel object categories at inference time. Recent works explore vision-language pre-training …

Abstract The objective of Audio-Visual Segmentation (AVS) is to localise the sounding
objects within visual scenes by accurately predicting pixel-wise segmentation masks. To …

The audio-visual segmentation (AVS) task aims to segment sounding objects from a given
video. Existing works mainly focus on fusing audio and visual features of a given video to …

Weakly-supervised temporal action localization (WTAL) learns to detect and classify action
instances with only category labels. Most methods widely adopt the off-the-shelf …

Abstract Audio-Visual Source Localization (AVSL) aims to locate sounding objects within
video frames given the paired audio clips. Existing methods predominantly rely on self …

Audio-visual segmentation (AVS) aims to segment the sounding objects in video frames.
Although great progress has been witnessed we experimentally reveal that current methods …

Large-scale pre-trained image-text models demonstrate remarkable versatility across
diverse tasks, benefiting from their robust representational capabilities and effective …

The goal of the audio-visual segmentation (AVS) task is to segment the sounding objects in
the video frames using audio cues. However, current fusion-based methods have the …