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Found 5 papers, 4 papers with code
Emotion Recognition Using Transformers with Masked Learning
In recent years, deep learning has achieved innovative advancements in various fields, including the analysis of human emotions and behaviors.
PU-MFA : Point Cloud Up-sampling via Multi-scale Features Attention
The performance of PU-MFA was compared with other state-of-the-art methods through various experiments using the PU-GAN dataset, which is a synthetic point cloud dataset, and the KITTI dataset, which is the real-scanned point cloud dataset.
Ranked #1 on
Point Cloud Super Resolution
on PU-GAN
BYEL : Bootstrap Your Emotion Latent
With the improved performance of deep learning, the number of studies trying to apply deep learning to human emotion analysis is increasing rapidly.
Multitask Emotion Recognition Model with Knowledge Distillation and Task Discriminator
Due to the collection of big data and the development of deep learning, research to predict human emotions in the wild is being actively conducted.
Causal affect prediction model using a facial image sequence
Among human affective behavior research, facial expression recognition research is improving in performance along with the development of deep learning.
