Search Results for author:
Found 4 papers, 4 papers with code
Prompting Visual-Language Models for Dynamic Facial Expression Recognition
For the visual part, based on the CLIP image encoder, a temporal model consisting of several Transformer encoders is introduced for extracting temporal facial expression features, and the final feature embedding is obtained as a learnable "class" token.
Dynamic Facial Expression Recognition
Facial Expression Recognition
+1
Former-DFER: Dynamic Facial Expression Recognition Transformer
Specifically, the proposed Former-DFER mainly consists of a convolutional spatial transformer (CS-Former) and a temporal transformer (T-Former).
Ranked #6 on
Dynamic Facial Expression Recognition
on FERV39k
Learning Deep Global Multi-scale and Local Attention Features for Facial Expression Recognition in the Wild
Specifically, the proposed network consists of three main components: a feature pre-extractor, a multi-scale module, and a local attention module.
Ranked #14 on
Facial Expression Recognition (FER)
on RAF-DB
Facial Expression Recognition
Facial Expression Recognition (FER)
Robust Lightweight Facial Expression Recognition Network with Label Distribution Training
This paper presents an efficiently robust facial expression recognition (FER) network, named EfficientFace, which holds much fewer parameters but more robust to the FER in the wild.
Ranked #1 on
Facial Expression Recognition (FER)
on CAER
