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pro vyhledávání: '"Zhang, Qingyang"'
Autor:
Zhang, Qingyang, Wu, Haitao, Zhang, Changqing, Hu, Qinghua, Fu, Huazhu, Zhou, Joey Tianyi, Peng, Xi
The inherent challenge of multimodal fusion is to precisely capture the cross-modal correlation and flexibly conduct cross-modal interaction. To fully release the value of each modality and mitigate the influence of low-quality multimodal data, dynam
Externí odkaz:
http://arxiv.org/abs/2306.02050
Large language models (LLMs) have demonstrated remarkable language abilities. GPT-4, based on advanced LLMs, exhibits extraordinary multimodal capabilities beyond previous visual language models. We attribute this to the use of more advanced LLMs com
Externí odkaz:
http://arxiv.org/abs/2305.04160
This paper describes an approach to the facial action unit (AU) detection. In this work, we present our submission to the Field Affective Behavior Analysis (ABAW) 2021 competition. The proposed method uses the pre-trained JAA model as the feature ext
Externí odkaz:
http://arxiv.org/abs/2107.04389