연구동향 분석

Voting and Ensemble Schemes Based on CNN Models for Photo-Based Gender Prediction

장경선 2020년

    • more
논문상세정보
인용/피인용
' Voting and Ensemble Schemes Based on CNN Models for Photo-Based Gender Prediction' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • CNN models
  • Ensemble Scheme
  • Softmax-based Voting
  • gender prediction
  • majority voting
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
21 0

0.0%

' Voting and Ensemble Schemes Based on CNN Models for Photo-Based Gender Prediction' 의 참고문헌

  • softmas function
  • Very deep convolutional networks for large-scale image recognition
  • Understanding and comparing deep neural networks for age and gender classification
  • Imagenet Classification with Deep Convolutional Neural Networks
  • ImageNet large scale visual recognition challenge
  • Going deeper with convolutions
    C. Szegedy [2015]
  • Densely connected convolutional networks
    G. Huang [2017]
  • Deep residual learning for image recognition
  • Deep expectation of real and apparent age from a single image without facial landmarks
    R. Rothe [2018]
  • DAGER: deep age, gender and emotion recognition using convolutional neural network
  • Cross-validation of regression models
  • Convolutional neural network
  • Caffe : convolutional architecture for fast feature embedding
    Y. Jia [2014]
  • Arg max
  • An introduction to Global Average Pooling in convolutional neural networks
  • Age group and gender estimation in the wild with deep RoR architecture
    K. Zhang [2017]
  • Age and gender estimation of unfiltered faces
    E. Eidinger [2014]
  • Age and gender classification using convolutional neural networks
    G. Levi [2015]
  • A survey of cross-validation procedures for model selection
    S. Arlot [2010]
  • A comprehensive guide to ensemble learning (with Python codes)