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cs.CV2025
Learning to Instruct for Visual Instruction Tuning
Zhihan Zhou, Feng Hong, Jiaan Luo +5
We propose L2T, an advancement of visual instruction tuning (VIT). While VIT equips Multimodal LLMs (MLLMs) with promising multimodal capabilities, the current design choices for V…
cs.CV2024
Knowledge-Enhanced Facial Expression Recognition with Emotional-to-Neutral Transformation
Hangyu Li, Yihan Xu, Jiangchao Yao +3
Existing facial expression recognition (FER) methods typically fine-tune a pre-trained visual encoder using discrete labels. However, this form of supervision limits to specify the…