Low-bit quantized neural networks are of great interest in practical
app...
Identity documents recognition is an important sub-field of document
ana...
One of the most computationally intensive parts in modern recognition sy...
Quantized low-precision neural networks are very popular because they re...
This paper considers the task of arbitrary document detection performed ...
In this paper, we consider a task of stopping the video stream recogniti...
In this work the methods of comparison of digitized copies of administra...
The paper proposes an approach to training a convolutional neural networ...
In the paper we introduce a novel bipolar morphological neuron and bipol...
In the field of document analysis and recognition using mobile devices f...
Recognition of identity documents using mobile devices has become a topi...
A lot of research has been devoted to identity documents analysis and
re...
A lot of research has been devoted to identity documents analysis and
re...