Viability of Viola-Jones method for the problem of image classification
暂无分享,去创建一个
Dmitry P. Nikolaev | Vladimir V. Arlazarov | Daniil P. Matalov | Alexander Sheshkus | D. Nikolaev | D. Matalov | V. Arlazarov | A. Sheshkus
[1] Yurong Liu,et al. A survey of deep neural network architectures and their applications , 2017, Neurocomputing.
[2] Gang Hua,et al. A convolutional neural network cascade for face detection , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[3] Dmitry P. Nikolaev,et al. Viola-Jones based hybrid framework for real-time object detection in multispectral images , 2015, International Conference on Machine Vision.
[4] Dmitry P. Nikolaev,et al. Fast integer approximations in convolutional neural networks using layer-by-layer training , 2017, International Conference on Machine Vision.
[5] Elena Limonova,et al. Computational optimization of convolutional neural networks using separated filters architecture , 2020, ArXiv.
[6] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1995, EuroCOLT.
[7] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[8] Bram van Ginneken,et al. A survey on deep learning in medical image analysis , 2017, Medical Image Anal..
[9] Vladimir V. Arlazarov,et al. Performance improvement of multi-class detection using greedy algorithm for Viola-Jones cascade selection , 2018, International Conference on Machine Vision.
[10] Junwei Han,et al. A Survey on Object Detection in Optical Remote Sensing Images , 2016, ArXiv.
[11] Paul A. Viola,et al. Rapid object detection using a boosted cascade of simple features , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[12] Ali Farhadi,et al. You Only Look Once: Unified, Real-Time Object Detection , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Kensuke Yokoi,et al. APAC: Augmented PAttern Classification with Neural Networks , 2015, ArXiv.