Papers with Code 아카이브
Facial Expression Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 보존된 평가 기록
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/batuceng/max_quantile
https://github.com/behzadhsni/BReG-NeXt
BReG-NeXt: Facial Affect Computing Using Adaptive Residual Networks With Bounded Gradient
https://github.com/bogireddytejareddy/micro-expression-recognition
https://github.com/cem8301/EmotionDetector
https://github.com/chinhau-lim/fer2013
Challenges in Representation Learning: A report on three machine learning contests
https://github.com/chinhau-lim/fer_2013
Challenges in Representation Learning: A report on three machine learning contests
https://github.com/ckapoor7/DeXpression
DeXpression: Deep Convolutional Neural Network for Expression Recognition
https://github.com/cuguilke/microexpnet
MicroExpNet: An Extremely Small and Fast Model For Expression Recognition From Face Images
https://github.com/elangarka/Regularized-Xception-FER-Extra-Training-Data-Step-Decay-Learning-Rate
Challenges in Representation Learning: A report on three machine learning contests
https://github.com/eric-erki/Visualising-Facial-Expression-Changes
https://github.com/fulviomascara/pytorch-cv
Facial Expression Recognition Research Based on Deep Learning
https://github.com/hemanshanand/Facial-Expression-Recognition
Challenges in Representation Learning: A report on three machine learning contests
https://github.com/holman57/AI_Emotion_Detection
Training Deep Networks for Facial Expression Recognition with Crowd-Sourced Label Distribution
https://github.com/janZub-AI/EmotionDetectionVGG
Facial Expression Recognition using Convolutional Neural Networks: State of the Art
https://github.com/jannine92/supervised_emotion_recognition
Challenges in Representation Learning: A report on three machine learning contests
https://github.com/jason90330/EdgeFinal
Learning to Amend Facial Expression Representation via De-albino and Affinity
https://github.com/jonathangiguere/Emotion_Image_Classifier
AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild
https://github.com/justinshenk/fer
Challenges in Representation Learning: A report on three machine learning contests
https://github.com/kaushal-k/Deep-Emotion
Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network
https://github.com/kyranstar/Narcissus
https://github.com/leorrose/Facial-Expression-Recognition
Challenges in Representation Learning: A report on three machine learning contests
https://github.com/leorrose/Social-Network-Facial-Expression-Recognition
Challenges in Representation Learning: A report on three machine learning contests
https://github.com/modelhub-ai/emotion-fer-plus
Training Deep Networks for Facial Expression Recognition with Crowd-Sourced Label Distribution
https://github.com/negarhdr/skeleton-based-action-recognition
https://github.com/oellop/facial_expression
Challenges in Representation Learning: A report on three machine learning contests
https://github.com/omarsayed7/Deep-Emotion
Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network
https://github.com/omidmn/Engagement-Recognition
Automatic Recognition of Student Engagement using Deep Learning and Facial Expression
https://github.com/omidnezami/Engagement-Recognition
Automatic Recognition of Student Engagement using Deep Learning and Facial Expression
https://github.com/phamquiluan/ResidualMaskingNetwork
Challenges in Representation Learning: A report on three machine learning contests
https://github.com/prakharbhardwaj1/emotion-recognition
Training Deep Networks for Facial Expression Recognition with Crowd-Sourced Label Distribution
https://github.com/pranjalrai-iitd/FER2013-Facial-Emotion-Recognition-
Facial Expression Recognition using Convolutional Neural Networks: State of the Art
https://github.com/rdgozum/dexpression-pytorch
DeXpression: Deep Convolutional Neural Network for Expression Recognition
https://github.com/rohithv/Grammatical-facial-expression-recognition
Grammatical facial expression recognition using customized deep neural network architecture
https://github.com/shanxuanchen/FacialExpressionRecognition
Island Loss for Learning Discriminative Features in Facial Expression Recognition
https://github.com/shiqiyu/libfacedetection.train
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.