Audio-Visual Generalized Zero-Shot Learning using Pre-Trained Large Multi-Modal Models

arXiv:2404.06309v1 Announce Type: new
Abstract: Audio-visual zero-shot learning methods commonly build on features extracted from pre-trained models, e.g. video or audio classification models. However, existing benchmarks predate the popularization of large multi-modal models, such as CLIP and CLAP. In this work, we explore such large pre-trained models to obtain features, i.e. CLIP for visual features, and CLAP for audio features. Furthermore, the CLIP and CLAP text encoders provide class label embeddings which are combined to boost the performance of the …

arxiv audio cs.cv generalized modal multi-modal type visual zero-shot