Zero-Shot Chinese Text Recognition via Matching Class Embedding
暂无分享,去创建一个
[1] Shaogang Gong,et al. Transductive Multi-View Zero-Shot Learning , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[2] 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.
[3] Changshui Zhang,et al. Zero-shot Handwritten Chinese Character Recognition with hierarchical decomposition embedding , 2020, Pattern Recognit..
[4] Lianwen Jin,et al. Radical aggregation network for few-shot offline handwritten Chinese character recognition , 2019, Pattern Recognit. Lett..
[5] Yuji Matsumoto,et al. Ridge Regression, Hubness, and Zero-Shot Learning , 2015, ECML/PKDD.
[6] Xiang Bai,et al. ASTER: An Attentional Scene Text Recognizer with Flexible Rectification , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Jun Du,et al. Writer-Aware CNN for Parsimonious HMM-Based Offline Handwritten Chinese Text Recognition , 2018, Pattern Recognit..
[8] Lianwen Jin,et al. High Performance Offline Handwritten Chinese Text Recognition with a New Data Preprocessing and Augmentation Pipeline , 2020, DAS.
[9] Jun Du,et al. Radical analysis network for learning hierarchies of Chinese characters , 2020, Pattern Recognit..
[10] Yi Xiao,et al. Deep Matching Network for Handwritten Chinese Character Recognition , 2020, Pattern Recognit..
[11] Lianwen Jin,et al. Decoupled Attention Network for Text Recognition , 2019, AAAI.
[12] Fei Yin,et al. Handwritten Chinese Text Recognition by Integrating Multiple Contexts , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[13] Jürgen Schmidhuber,et al. Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks , 2006, ICML.
[14] Jun Du,et al. A comprehensive study of hybrid neural network hidden Markov model for offline handwritten Chinese text recognition , 2018, International Journal on Document Analysis and Recognition (IJDAR).