A frozen-CLIP facial expression recognition framework with LLM-guided prompts, prototype regularization, and sparse global-local alignment claims new state-of-the-art accuracy across RAF-DB, FERPlus, and AffectNet.
Impact of deep learning ap- proaches on facial expression recognition in healthcare in- dustries.IEEE Transactions on Industrial Informatics, 2022
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Multimodal Prompt Alignment for Facial Expression Recognition
A frozen-CLIP facial expression recognition framework with LLM-guided prompts, prototype regularization, and sparse global-local alignment claims new state-of-the-art accuracy across RAF-DB, FERPlus, and AffectNet.