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Learning Discriminative Features with Region Attention and Refinement Network for Facial Expression Recognition in the Wild. Abstract: Facial Expression ...
Abstract—Facial Expression Recognition (FER) has achieved significant performance in recent years. However, learning dis- criminative expression features is ...
Learning Discriminative Features with Region Attention and Refinement Network for Facial Expression Recognition in the Wild. August 2022. August 2022. DOI ...
An innovative region attention and refinement network (RARN) capable of learning discriminative and robust features for accurate FER in the wild and ...
Learning Discriminative Features with Region Attention and Refifinement Network for Facial Expression Recognition in the Wild - lizoe/RARN.
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In this paper, we propose an Informative and Discriminative Semantic Features Learning (IDSFL) network for FER against occlusion and head pose in the wild.
Apr 29, 2021 · Abstract. Facial expression recognition (FER) in-the-wild is challenging due to unconstraint settings such as varying head poses, illumination, ...
Jan 1, 2022 · AbstractFacial expression recognition (FER) in-the-wild is challenging due to unconstraint settings such as varying head poses, illumination ...
Abstract. Facial expression recognition (FER) in-the-wild is challenging due to unconstraint settings such as varying head poses, illumination, and occlusions.
[11] proposed a self-cure Network (SCN) for FER in the wild, which took full advantage of attention mechanism to weight each training face sample. These ...