Rethinking the learning paradigm for dynamic facial expression recognition
Abstract Dynamic Facial Expression Recognition (DFER) is a rapidly develo** field that
focuses on recognizing facial expressions in video format. Previous research has …
focuses on recognizing facial expressions in video format. Previous research has …
Applications of convolutional neural networks in education: A systematic literature review
Applying artificial intelligence in education is relevant to addressing the current educational
crises. Many available solutions apply Convolutional Neural Networks (CNNs) to help …
crises. Many available solutions apply Convolutional Neural Networks (CNNs) to help …
Mae-dfer: Efficient masked autoencoder for self-supervised dynamic facial expression recognition
Dynamic facial expression recognition (DFER) is essential to the development of intelligent
and empathetic machines. Prior efforts in this field mainly fall into supervised learning …
and empathetic machines. Prior efforts in this field mainly fall into supervised learning …
Finecliper: Multi-modal fine-grained clip for dynamic facial expression recognition with adapters
Dynamic Facial Expression Recognition (DFER) is crucial for understanding human
behavior. However, current methods exhibit limited performance mainly due to the …
behavior. However, current methods exhibit limited performance mainly due to the …
Cliper: A unified vision-language framework for in-the-wild facial expression recognition
As one of the most informative behaviors of humans, facial expressions are often compound
and variable, which is manifested by the fact that different people may express the same …
and variable, which is manifested by the fact that different people may express the same …