연구동향 분석

비전센서 및 딥러닝을 이용한 항만구조물 방충설비 세분화 시스템 개발

민지영 유병준 김종혁 전해민 2022년

논문상세정보
인용/피인용
' 비전센서 및 딥러닝을 이용한 항만구조물 방충설비 세분화 시스템 개발' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • Deep learning
  • Fender segmentation
  • Port structure
  • Vision sensor
  • 딥 러닝
  • 방충설비 세분화
  • 비전센서
  • 항만시설물
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
3,248 0

0.0%

' 비전센서 및 딥러닝을 이용한 항만구조물 방충설비 세분화 시스템 개발' 의 참고문헌

  • You only look once: unified, real-time object detection
    Redmon, J. [2016]
  • Vision-based autonomous crack detection of concrete structures using a fully convolutional encoder–decoder network
  • Very deep convolutional networks for large-scale image recognition
    Simonyan K [2015]
  • U-Net: convolutional networks for biomedical image segmentation
  • Ssd: single shot multibox detector
    Liu, W. [2016]
  • Ship berthing and mooring monitoring system by pneumatic-type fenders
  • Rich feature hierarchies for accurate object detection and semantic segmentation
    Girshick R. [2014]
  • Receptive field block net for accurate and fast object detection
    Liu, S. [2018]
  • Port facility maintenance and mid-to long-term road map establishment project
  • Pixel-level fatigue crack segmentation in large-scale images of steel structures using an encoder–decoder network
    Dong, C. [2021]
  • Mask r-cnn
    He, K. [2017]
  • Harbor and fishing port fender maintenance manual
  • Fully convolutional networks for semantic segmentation
    Long, J. [2015]
  • Final acceptance test on advanced ship maneuvering and mooring support system at ship-to-ship transfer operations by fender monitoring system of pneumatic fenders
    Yamada, S. [2012]
  • Faster r-cnn : Towards real-time object detection with region proposal networks, Advances in neural information processing systems
    Ren, S. [2015]
  • Fast r-cnn, Proceedings of the IEEE international conference on computer vision
  • Detailed guidelines for safety inspection of port facilities
  • Detailed guidelines for safety and maintenance of facilities (performance evaluation)
  • Deformable non-local network for video super-resolution
    Wang, H. [2019]
  • Autonomous concrete crack detection using deep fully convolutional neural network
    Dung, C. V. [2019]