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1 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.