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04/12/2023
Dynamic Graph Representation Learning with Neural Networks: A Survey
In recent years, Dynamic Graph (DG) representations have been increasing...
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01/25/2023
Faster DAN: Multi-target Queries with Document Positional Encoding for End-to-end Handwritten Document Recognition
Recent advances in handwritten text recognition enabled to recognize who...
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12/06/2022
Domain Translation via Latent Space Mapping
In this paper, we investigate the problem of multi-domain translation: g...
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03/23/2022
DAN: a Segmentation-free Document Attention Network for Handwritten Document Recognition
Unconstrained handwritten document recognition is a challenging computer...
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02/17/2021
SPAN: a Simple Predict Align Network for Handwritten Paragraph Recognition
Unconstrained handwriting recognition is an essential task in document a...
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12/09/2020
Recurrence-free unconstrained handwritten text recognition using gated fully convolutional network
Unconstrained handwritten text recognition is a major step in most docum...
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12/09/2020
Have convolutions already made recurrence obsolete for unconstrained handwritten text recognition ?
Unconstrained handwritten text recognition remains an important challeng...
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12/07/2020
End-to-end Handwritten Paragraph Text Recognition Using a Vertical Attention Network
Unconstrained handwritten text recognition remains challenging for compu...
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06/10/2020
Object Detection in the DCT Domain: is Luminance the Solution?
Object detection in images has reached unprecedented performances. The s...
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04/16/2019
Fast object detection in compressed JPEG Images
Object detection in still images has drawn a lot of attention over past ...
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09/06/2017
Neural Networks Regularization Through Class-wise Invariant Representation Learning
Training deep neural networks is known to require a large number of trai...
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07/24/2017
LV-ROVER: Lexicon Verified Recognizer Output Voting Error Reduction
Offline handwritten text line recognition is a hard task that requires b...
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12/22/2016
Handwriting recognition using Cohort of LSTM and lexicon verification with extremely large lexicon
State-of-the-art methods for handwriting recognition are based on Long S...
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04/28/2015