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Found 5 papers, 1 papers with code
Cross Attentional Audio-Visual Fusion for Dimensional Emotion Recognition
Results indicate that our cross-attentional A-V fusion model is a cost-effective approach that outperforms state-of-the-art fusion approaches.
Weakly Supervised Learning for Facial Behavior Analysis : A Review
In this paper, we provide a comprehensive review of weakly supervised learning (WSL) approaches for facial behavior analysis with both categorical as well as dimensional labels along with the challenges and potential research directions associated with it.
Deep DA for Ordinal Regression of Pain Intensity Estimation Using Weakly-Labeled Videos
The WSDA-OR model enforces ordinal relationships among the intensity levels as-signed to the target sequences, and associates multiple relevant frames to sequence-level labels (instead of a single frame).
Deep Domain Adaptation for Ordinal Regression of Pain Intensity Estimation Using Weakly-Labelled Videos
Estimation of pain intensity from facial expressions captured in videos has an immense potential for health care applications.
Deep Weakly-Supervised Domain Adaptation for Pain Localization in Videos
Automatic pain assessment has an important potential diagnostic value for populations that are incapable of articulating their pain experiences.
