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Found 5 papers, 1 papers with code
Recent Advances of Local Mechanisms in Computer Vision: A Survey and Outlook of Recent Work
We hope that this survey can shed light on future research in the computer vision field.
Vision Transformer with Attentive Pooling for Robust Facial Expression Recognition
The proposed APP is employed to select the most informative patches on CNN features, and ATP discards unimportant tokens in ViT.
Ranked #4 on
Facial Expression Recognition (FER)
on RAF-DB
Facial Expression Recognition
Facial Expression Recognition (FER)
+1
TransFER: Learning Relation-aware Facial Expression Representations with Transformers
Second, to build rich relations between different local patches, the Vision Transformers (ViT) are used in FER, called ViT-FER.
Facial Expression Recognition
Facial Expression Recognition (FER)
+2
Hierarchical Pyramid Diverse Attention Networks for Face Recognition
Meanwhile, a diverse learning is developed to encourage models to focus on different local patches and generate diverse local features.
Learning Channel Inter-dependencies at Multiple Scales on Dense Networks for Face Recognition
We propose a new deep network structure for unconstrained face recognition.
