Abstract: Audio-visual zero-shot learning (ZSL) leverages both video and audio information for model training, aiming to classify new video categories that were not seen during the training. However, ...
Abstract: Affective Video Facial Analysis (AVFA) is important for advancing emotion-aware AI, yet the persistent data scarcity in AVFA presents challenges. Recently, the self-supervised learning (SSL) ...
Abstract: This letter proposes to use similarities of audio captions for estimating audio-caption relevances to be used for training text-based audio retrieval systems. Current audio-caption datasets ...
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