7 citations · 14 across the 4 of their papers we have counts for
4 papers · 1 filter
ResNet-like Architecture with Low Hardware Requirements
Elena Limonova, Daniil Alfonso, Dmitry Nikolaev +1
One of the most computationally intensive parts in modern recognition systems is an inference of deep neural networks that are used for image classification, segmentation, enhancem…
Fast Implementation of 4-bit Convolutional Neural Networks for Mobile Devices
Anton Trusov, Elena Limonova, Dmitry Slugin +2
Quantized low-precision neural networks are very popular because they require less computational resources for inference and can provide high performance, which is vital for real-t…
Computational optimization of convolutional neural networks using separated filters architecture
Elena Limonova, Alexander Sheshkus, Dmitry Nikolaev
This paper considers a convolutional neural network transformation that reduces computation complexity and thus speedups neural network processing. Usage of convolutional neural ne…
The Analysis of Projective Transformation Algorithms for Image Recognition on Mobile Devices
Anton Trusov, Elena Limonova
In this work we apply commonly known methods of non-adaptive interpolation (nearest pixel, bilinear, B-spline, bicubic, Hermite spline) and sampling (point sampling, supersampling,…