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Facial Expression Recognition

35 papers with code · Computer Vision

Facial expression recognition is the task of classifying the expressions on face images into various categories such as anger, fear, surprise, sadness, happiness and so on.

( Image credit: DeXpression )

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Greatest papers with code

Suppressing Uncertainties for Large-Scale Facial Expression Recognition

CVPR 2020 kaiwang960112/Self-Cure-Network

Annotating a qualitative large-scale facial expression dataset is extremely difficult due to the uncertainties caused by ambiguous facial expressions, low-quality facial images, and the subjectiveness of annotators.

FACIAL EXPRESSION RECOGNITION

Frame attention networks for facial expression recognition in videos

29 Jun 2019Open-Debin/Emotion-FAN

The feature embedding module is a deep Convolutional Neural Network (CNN) which embeds face images into feature vectors.

FACIAL EXPRESSION RECOGNITION

Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition

10 May 2019kaiwang960112/Challenge-condition-FER-dataset

Extensive experiments show that our RAN and region biased loss largely improve the performance of FER with occlusion and variant pose.

FACIAL EXPRESSION RECOGNITION

MicroExpNet: An Extremely Small and Fast Model For Expression Recognition From Face Images

19 Nov 2017cuguilke/microexpnet

On the other hand, KD is proved to be useful for model compression for the FER problem, and we discovered that its effects gets more and more significant with the decreasing model size.

FACIAL EXPRESSION RECOGNITION MODEL COMPRESSION

Covariance Pooling For Facial Expression Recognition

13 May 2018d-acharya/CovPoolFER

In this work, we explore the benefits of using a man- ifold network structure for covariance pooling to improve facial expression recognition.

FACIAL EXPRESSION RECOGNITION

Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks

17 Jan 2020siqueira-hc/Efficient-Facial-Feature-Learning-with-Wide-Ensemble-based-Convolutional-Neural-Networks

Experiments on large-scale datasets suggest that ESRs reduce the remaining residual generalization error on the AffectNet and FER+ datasets, reach human-level performance, and outperform state-of-the-art methods on facial expression recognition in the wild using emotion and affect concepts.

 Ranked #1 on Facial Expression Recognition on FER+ (using extra training data)

FACIAL EXPRESSION RECOGNITION

Challenges in Representation Learning: A report on three machine learning contests

1 Jul 2013phamquiluan/ResidualMaskingNetwork

The ICML 2013 Workshop on Challenges in Representation Learning focused on three challenges: the black box learning challenge, the facial expression recognition challenge, and the multimodal learning challenge.

 Ranked #1 on Facial Expression Recognition on FER2013 (using extra training data)

FACIAL EXPRESSION RECOGNITION REPRESENTATION LEARNING

DeepFaceFlow: In-the-wild Dense 3D Facial Motion Estimation

CVPR 2020 mrkoujan/DeepFaceFlow

Dense 3D facial motion capture from only monocular in-the-wild pairs of RGB images is a highly challenging problem with numerous applications, ranging from facial expression recognition to facial reenactment.

3D RECONSTRUCTION FACIAL EXPRESSION RECOGNITION MOTION CAPTURE MOTION ESTIMATION

4DFAB: A Large Scale 4D Facial Expression Database for Biometric Applications

5 Dec 2017sw-gong/spiralnet_plus

4DFAB contains recordings of 180 subjects captured in four different sessions spanning over a five-year period.

FACIAL EXPRESSION RECOGNITION