연구동향 분석

얼굴이미지열 예측 자기주도학습을 통한 자동표정인식 연구

윤여찬 김수균 2022년

논문상세정보
인용/피인용
' 얼굴이미지열 예측 자기주도학습을 통한 자동표정인식 연구' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • Artificial Intelligence
  • Deep Learning
  • Self-supervised Learning
  • Unsupervised learning
  • facial expression recognition
  • 딥 러닝
  • 비교사 학습
  • 얼굴 인식
  • 인공지능
  • 자기주도학습
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
8,679 0

0.0%

' 얼굴이미지열 예측 자기주도학습을 통한 자동표정인식 연구' 의 참고문헌

  • mproved regularization of convolutional neural networks with cutout
  • Unsupervised visual representation learning by context prediction
  • Unsupervised representation learning by predicting image rotations
  • Unsupervised learning of visual representations by solving jigsaw puzzles
  • Unsupervised learning of depth and ego-motion from video
  • The extended cohnkanade dataset (ck+): A complete dataset for action unit and emotion-specified expression
  • The MVTec anomaly detection dataset:a comprehensive real-world dataset for unsupervised anomaly detection
  • Random erasing data augmentation
    Zhun Zhong [2020]
  • Learning representations for automatic colorization
  • Going deeper in facial expression recognition using deep neural networks
  • Frame attention networks for facial expression recognition in videos
    Meng, Debin [2019]
  • Emotiw 2018: Audio-video, student engagement and group-level affect prediction
  • Deep facial expression recognition:A survey
    Li, Shan [2020]
  • Cutpaste: Self-supervised learning for anomaly detection and localization
  • Constants across cultures in the face and emotion
    P. Ekman [1971]
  • Colorful image colorization
  • Can We Exploit All Datasets? Multimodal Emotion Recognition Using Cross-Modal Translation
    Y. C. Yoon [2022]
  • A survey of transfer learning
    Weiss, Karl [2016]