- (github) AWESOME-FER
- (github) Facial Expression Recognition using Residual Masking Network, in PyTorch
- (github) Facial Motion Prior Networks for Facial Expression Recognition
- (github) Suppressing Uncertainties for Large-Scale Facial Expression Recognition
- (github) Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network
- (github) FERAtt: Facial Expression Recognition with Attention Net
- (github) Face detection algorithms in PyTorch. (MTCNN FaceBoxes Tiny face PyramidBox S3FD DSFD)
- (github) Ultra-Light-Fast-Generic-Face-Detector-1MB
- (github) Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
- (github) DSFD: Dual Shot Face Detector腾讯优图高精度双分支人脸检测器 DSFD-Pytorch-Inference
-
[FERV39k(CVPR2022)] FERV39k: A Large-Scale Multi-Scene Dataset for Facial Expression Recognition in Videos [paper link][
datasets of videos] -
[MDAN(CVPR2022)] MDAN: Multi-level Dependent Attention Network for Visual Emotion Analysis [paper link]
-
[ADA-CM(CVPR2022)] Towards Semi-Supervised Deep Facial Expression Recognition with An Adaptive Confidence Margin [paper link][codes|official]
-
[Sparse2Dense(CVPR2022)] Sparse to Dense Dynamic 3D Facial Expression Generation [paper link][codes|official]