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HoughToRadon Transform: New Neural Network Layer for Features Improvement in Projection Space
In this paper, we introduce HoughToRadon Transform layer, a novel layer designed to improve the speed of neural networks incorporated with Hough Transform to solve semantic image segmentation problems.
MIDV-2020: A Comprehensive Benchmark Dataset for Identity Document Analysis
Identity documents recognition is an important sub-field of document analysis, which deals with tasks of robust document detection, type identification, text fields recognition, as well as identity fraud prevention and document authenticity validation given photos, scans, or video frames of an identity document capture.
Computational optimization of convolutional neural networks using separated filters architecture
This paper considers a convolutional neural network transformation that reduces computation complexity and thus speedups neural network processing.
HoughNet: neural network architecture for vanishing points detection
We demonstrate its potential by solving the problem of vanishing points detection in the images of documents.
