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2 papers

2017IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39, no. 11, pp. 2298-2304, DOI: 10.1109/TPAMI.2016.2646691

An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition

Cong Yao, Xiang Bai, Baoguang Shi

Finding: The proposed method achieved competitive and superior accuracy on standard benchmarks like IIIT-5K and ICDAR, while being end-to-end trainable and requiring no manual segmentation.

OCR text recognition

1997Neural Computation, vol. 9, no. 8, pp. 1735-1780, DOI: 10.1162/neco.1997.9.8.1735

Long Short-Term Memory

Sepp Hochreiter, Jürgen Schmidhuber

Finding: LSTM outperformed vanilla RNNs on tasks like speech recognition, machine translation, and text generation, successfully modeling long-term dependencies.

RNN LSTM