Dynamic Resolution Guidance for Robust Facial Expression Recognition in Low-Resolution Images
A practical method called Dynamic Resolution Guidance for Facial Expression Recognition (DRGFER) that effectively recognizes facial expressions in images with varying resolutions without compromising FER model accuracy.
A Lightweight Attention-based Deep Network for Multi-View Facial Expression Recognition
Introducing LANMSFF, a lightweight attention-based deep network incorporating multi-scale feature fusion, to address challenges in facial expression recognition.
Compound Expression Recognition via Multi Model Ensemble
Ensemble learning methods improve compound expression recognition by combining local and global features from different models.
Zero-shot Compound Expression Recognition with Visual Language Model at the 6th ABAW Challenge
Proposing a zero-shot approach for recognizing compound expressions using a visual language model integrated with CNN networks.
Deep Adaptation of Adult-Child Facial Expressions by Fusing Landmark Features
Proposing a novel approach, FACE-BE-SELF, for classifying adult and child facial expressions through deep domain adaptation and feature fusion.
A3lign-DFER: Pioneering Comprehensive Dynamic Affective Alignment for Dynamic Facial Expression Recognition with CLIP
The author introduces the A3lign-DFER method to address challenges in dynamic facial expression recognition, enhancing CLIP's suitability for the task through comprehensive alignment in affective, dynamic, and bidirectional aspects.
Enhancing Facial Expression Recognition with Local Non-Local Joint Network
The author proposes a local non-local joint network to adaptively enhance facial crucial regions in feature learning for facial expression recognition.
