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- W3003596521 abstract "In this work, we investigate the use of the attention mechanism in deep learning for a better reading of handwritten digit strings in digitized images. The proposed recognition system built upon a CNN (Convolutional Neural Network) and two RNNs (Recurrent Neural Networks), acting as Encoder and Decoder and using the attention mechanism. We used a 1D mechanism for attention location with a soft alignment attention which has the peculiarity of having an easily calculable gradient and thus to integrate well with the network. Experimental results on data from ORAND-CAR A, ORAND-CAR B and CVL HDS databases compare favorably to other published methods." @default.
- W3003596521 created "2020-02-07" @default.
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- W3003596521 date "2019-09-01" @default.
- W3003596521 modified "2023-10-07" @default.
- W3003596521 title "On the Use of Attention Mechanism in a Seq2Seq Based Approach for Off-Line Handwritten Digit String Recognition" @default.
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- W3003596521 doi "https://doi.org/10.1109/icdar.2019.00086" @default.
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