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Facial Expression Recognition (FER)

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하위 태스크: 5
평가표: 25
보존된 평가 기록: 167

Facial Expression Recognition (FER) is a computer vision task aimed at identifying and categorizing emotional expressions depicted on a human face. The goal is to automate the process of determining emotions in real-time, by analyzing the various features of a face such as eyebrows, eyes, mouth, and other features, and mapping them to a set of emotions such as anger, fear, surprise, sadness and happiness.

<span style="color:grey; opacity: 0.6">( Image credit: DeXpression )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/baiyangwang/emgan

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Generative Adversarial Nets for Multiple Text Corpora

https://github.com/bbenligiray/greedy-face-features

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Greedy Search for Descriptive Spatial Face Features

https://github.com/birdwcp/qcs

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QCS: Feature Refining from Quadruplet Cross Similarity for Facial Expression Recognition

https://github.com/bita-github/MRP-FER

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Facial Expression Recognition Under Partial Occlusion from Virtual Reality Headsets based on Transfer Learning

https://github.com/bodhis4ttva/lhc_net

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Local Multi-Head Channel Self-Attention for Facial Expression Recognition

https://github.com/borrisonxiao/icefall

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HK-LegiCoST: Leveraging Non-Verbatim Transcripts for Speech Translation

https://github.com/chailab-umich/ModelingIndividualEvaluators

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The Whole Is Bigger Than the Sum of Its Parts: Modeling Individual Annotators to Capture Emotional Variability

https://github.com/crane-papercode/ICE-GAN

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ICE-GAN: Identity-aware and Capsule-Enhanced GAN with Graph-based Reasoning for Micro-Expression Recognition and Synthesis

https://github.com/cruiseyugh/gus

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Mid-level Representation Enhancement and Graph Embedded Uncertainty Suppressing for Facial Expression Recognition

https://github.com/cyf-cuber/mol

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MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution

https://github.com/d-acharya/CovPoolFER

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Covariance Pooling For Facial Expression Recognition

https://github.com/donydchen/FMPN-FER

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Facial Motion Prior Networks for Facial Expression Recognition

https://github.com/dreammr/pcl

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Pose-disentangled Contrastive Learning for Self-supervised Facial Representation

https://github.com/emo-box/emobox

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EmoBox: Multilingual Multi-corpus Speech Emotion Recognition Toolkit and Benchmark

https://github.com/envision-research/gpt4affectivity

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GPT as Psychologist? Preliminary Evaluations for GPT-4V on Visual Affective Computing

https://github.com/eye-tracking-for-physiological-sensing/eyelorin

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Inference-Time Gaze Refinement for Micro-Expression Recognition: Enhancing Event-Based Eye Tracking with Motion-Aware Post-Processing

https://github.com/fangyini/rmes

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RMES: Real-Time Micro-Expression Spotting Using Phase From Riesz Pyramid

https://github.com/fengju514/Expression-Net

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ExpNet: Landmark-Free, Deep, 3D Facial Expressions

https://github.com/fengyuentau/pytorch-flops

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Detect Faces Efficiently: A Survey and Evaluations

https://github.com/forever208/fmae-iat

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Representation Learning and Identity Adversarial Training for Facial Behavior Understanding

https://github.com/ftmghorbani/EVI-HRnet

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Expression-aware video inpainting for HMD removal in XR applications

https://github.com/fvmassoli/affwild2-challenge

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A Multi-resolution Approach to Expression Recognition in the Wild

https://github.com/fvmassoli/mafer-multires-facial-expression-recognition

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MAFER: a Multi-resolution Approach to Facial Expression Recognition

https://github.com/gabrella/qot

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Quaternion Orthogonal Transformer for Facial Expression Recognition in the Wild

https://github.com/genbing99/SoftNet-SpotME

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Shallow Optical Flow Three-Stream CNN for Macro- and Micro-Expression Spotting from Long Videos

https://github.com/gsethan17/CAPNet_ABAW2021

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Causal affect prediction model using a facial image sequence

https://github.com/guanghaozhu663/skd-tstsan

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Three-Stream Temporal-Shift Attention Network Based on Self-Knowledge Distillation for Micro-Expression Recognition

https://github.com/hangyu94/ada-cm

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Towards Semi-Supervised Deep Facial Expression Recognition with An Adaptive Confidence Margin

https://github.com/hengxyz/Dynamic_multi-task-learning

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Dynamic Multi-Task Learning for Face Recognition with Facial Expression

https://github.com/ihp-lab/fg-net

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FG-Net: Facial Action Unit Detection with Generalizable Pyramidal Features

https://github.com/irisdominguez/dataset-bias-metrics

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Assessing Demographic Bias Transfer from Dataset to Model: A Case Study in Facial Expression Recognition

https://github.com/ivclab/CPG

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Compacting, Picking and Growing for Unforgetting Continual Learning

https://github.com/jabumldev/speaker-vgg-cct

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SPEAKER VGG CCT: Cross-corpus Speech Emotion Recognition with Speaker Embedding and Vision Transformers

https://github.com/janetlauyeung/crossGENRE4RST

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Why Can't Discourse Parsing Generalize? A Thorough Investigation of the Impact of Data Diversity

https://github.com/jayaneetha/Zeta-Policy

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A novel policy for pre-trained Deep Reinforcement Learning for Speech Emotion Recognition

https://github.com/jiarenchang/facecycle

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Learning Facial Representations from the Cycle-consistency of Face

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