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Effective Multimodal Reinforcement Learning with Modality Alignment and Importance Enhancement
Specifically, we observe that these issues make conventional RL methods difficult to learn a useful state representation in the end-to-end training with multimodal information.
Learning a Facial Expression Embedding Disentangled From Identity
The facial expression analysis requires a compact and identity-ignored expression representation.
Multi-label Relation Modeling in Facial Action Units Detection
The proposed method consists of the data preprocessing, the feature extraction and the AU classification.
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