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M-FER-2013
The dataset used for facial expression recognition and mask wearing classification tasks. -
RaFD dataset
The RaFD dataset contains facial expressions with 17 AUs (1, 2, 4, 5, 6, 7, 9, 10, 12, 14, 15, 17, 20, 23, 25, 26 and 45) annotated with intensity values. -
Real CK+ dataset
A real dataset for facial expression recognition. -
Real BU-3DFE dataset
A real dataset for facial expression recognition. -
Synthetic CK+ dataset
A synthetic dataset for facial expression recognition. -
Synthetic BU-3DFE dataset
A synthetic dataset for facial expression recognition. -
FERAtt: Facial Expression Recognition with Attention Net
A new end-to-end network architecture for facial expression recognition with an attention model. -
Dynamic Resolution Guidance for Facial Expression Recognition
Facial expression recognition (FER) is vital for human-computer interaction and emotion analysis, yet recognizing expressions in low-resolution images remains challenging. This... -
JAFFE Database
The JAFFE database consists of 213 images from 10 Japanese female subjects. For each subject, there are around 4 images for each of the seven expressions (including neutral). -
Micro-Facial Expression Recognition Based on Deep-Rooted Learning Algorithm
Facial expression recognition has attracted many researchers for years, but it is still a challenging topic since expression features vary greatly with the head poses,... -
PAtt-Lite: Lightweight Patch and Attention
Facial Expression Recognition (FER) is a machine learning problem that deals with recognizing human facial expressions. -
FER2013: Facial Expression Recognition Dataset
FER2013 is a facial expression recognition dataset. -
AffectNet: A Large-Scale Facial Expression Recognition Dataset
AffectNet is a large-scale facial expression recognition dataset that contains over one million facial images collected from the Internet. -
Emotion Separation and Recognition from a Facial Expression
Representation learning and feature disentanglement have recently attracted much research interests in facial expression recognition. The ubiquitous ambiguity of emotion labels... -
Oulu-CASIA dataset
The Oulu-CASIA dataset is a facial expression recognition dataset that contains 6 expressions: Happy, Sad, Surprised, Angry, Fear, and Disgust. -
SPOS Database
The SPOS database contains both gray and near-infrared sequences of images in 640 × 480 resolution with 25 frames per second.
