CAD - Contextual Multi-modal Alignment for Dynamic AVQA
Author:
Affiliation:
1. University of Surrey,Centre for Vision, Speech and Signal Processing (CVSSP),United Kingdom
2. BBC Research and Development,United Kingdom
Funder
British Broadcasting Corporation
Engineering and Physical Sciences Research Council
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10483279/10483282/10484229.pdf?arnumber=10484229
Reference120 articles.
1. Deep Audio-visual Speech Recognition
2. Vatt: Transformers for multimodal self-supervised learning from raw video, audio and text;Akbari;Advances in Neural Information Processing Systems,2021
3. Audio Visual Scene-Aware Dialog
4. Flamingo: a visual language model for few-shot learning;Alayrac;Advances in Neural Information Processing Systems,2022
5. Learnable Irrelevant Modality Dropout for Multimodal Action Recognition on Modality-Specific Annotated Videos
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