연구동향 분석

장면 복잡도 기반 적응적 얼굴 마스크 탐지 모델

강재용 곽정환 2021년

논문상세정보
인용/피인용
' 장면 복잡도 기반 적응적 얼굴 마스크 탐지 모델' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • Artificial intelligence
  • COVID-19
  • Deep learning
  • Machine learning
  • Mask detection
  • Object detection
  • 객체감지
  • 기계학습
  • 딥 러닝
  • 마스크 감지
  • 인공지능
  • 코로나바이러스-19
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
14,205 0

0.0%

' 장면 복잡도 기반 적응적 얼굴 마스크 탐지 모델' 의 참고문헌

  • You only look once: unified, real-time object detection
    J. Redmon [2016]
  • Very deep convolutional networks fo r large-scale image recognition
  • Transfer-learning-based online Mura defect classification
    H. Yang [2018]
  • Transfer learning using convolutional neural networks for object classification within x-ray baggage security imagery
    S. Akçay [2016]
  • Rich feature hierarchies for accurate object detection and semantic segmentation
    R. Girshick [2014]
  • Rapid object detection using a boosted cascade of simple features
    P. Viola [2001]
  • Multisource transfer learning with convolutional neural networks for lung pattern analysis
  • Mask dataset
  • Imagenet classification with deep convolutional neural networks
  • ImageNet Large Scale Visual Recognition Challenge
  • Going Deeper With Convolutions
    C. Szegedy [2015]
  • Fast R-CNN
    R. Girshick [2015]
  • Ensemble of instance segmentation models for polyp segmentation in colonoscopy images
    J. Kang [2019]
  • Deep Residual Learning for Image Recognition
    K. He [2016]
  • Convolutional neural networks for medical image analysis : Full training or fine tuning?
  • Comparison of deep learning approaches for multi-label chest X-ray classification
  • A Survey on Transfer Learning
    S. J. Pan [2009]