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cs.CV2024
p-MoD: Building Mixture-of-Depths MLLMs via Progressive Ratio Decay
Jun Zhang, Desen Meng, Zhengming Zhang +3
Despite the remarkable performance of multimodal large language models (MLLMs) across diverse tasks, the substantial training and inference costs impede their advancement. In this…
cs.CV2024
ExpLLM: Towards Chain of Thought for Facial Expression Recognition
Xing Lan, Jian Xue, Ji Qi +3
Facial expression recognition (FER) is a critical task in multimedia with significant implications across various domains. However, analyzing the causes of facial expressions is es…