A review of deep learning techniques in document image word spotting
L Kumari, A Sharma - Archives of Computational Methods in Engineering, 2022 - Springer
From the early days of pattern recognition, word spotting have been important test beds for
studying how well machines can perform better decision making. In recent years, word …
studying how well machines can perform better decision making. In recent years, word …
Keyword spotting with quaternionic ResNet: application to spotting in Greek manuscripts
Quaternionized versions of standard (real-valued) neural network layers have shown to lead
to networks that are sparse and as effective as their real-valued counterparts. In this work …
to networks that are sparse and as effective as their real-valued counterparts. In this work …
Adversarial deep features for weakly supervised document image keyword spotting
Keyword spotting (KWS) aims to retrieve all instances of particular keywords in a document.
Modern approaches exploit the representational power of convolutional networks (CNN) to …
Modern approaches exploit the representational power of convolutional networks (CNN) to …