Res-RNN Network and Its Application in Case Text Recognition
暂无分享,去创建一个
[1] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Junjun Jiang,et al. Satellite Image Super-Resolution via Multi-Scale Residual Deep Neural Network , 2019, Remote. Sens..
[3] Wei Xu,et al. Bidirectional LSTM-CRF Models for Sequence Tagging , 2015, ArXiv.
[4] Dong Liu,et al. Human Face Age Recognition Based on Convolutional Neural Networks , 2018 .
[5] Johannes Söding,et al. Protein homology detection by HMM?CHMM comparison , 2005, Bioinform..
[6] Hossein Ebrahimnezhad,et al. Three-Dimensional Human Pose Estimation from a Single Image Using Non-linear Convolutional Neural Network Based on Shape Information , 2019 .
[7] Joelle Pineau,et al. End-to-End Text Recognition with Hybrid HMM Maxout Models , 2013, ICLR.
[8] Yaroslav Bulatov,et al. Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks , 2013, ICLR.
[9] Wenyu Liu,et al. Strokelets: A Learned Multi-scale Representation for Scene Text Recognition , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[10] Farbod Razzazi,et al. A very high accuracy handwritten character recognition system for Farsi/Arabic digits using Convolutional Neural Networks , 2010, 2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA).
[11] Jing Wang,et al. CAPTCHA recognition based on deep convolutional neural network. , 2019, Mathematical biosciences and engineering : MBE.
[12] Simon Haykin,et al. GradientBased Learning Applied to Document Recognition , 2001 .
[13] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[14] Dit-Yan Yeung,et al. Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting , 2015, NIPS.
[15] Xiang Bai,et al. An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] Juan Carlos Niebles,et al. Connectionist Temporal Modeling for Weakly Supervised Action Labeling , 2016, ECCV.