6 citations · 8 across the 2 of their papers we have counts for
2 papers
hep-ex2022★ 6 cited
Deep learning for track recognition in pixel and strip-based particle detectors
O. Bakina, D. Baranov, I. Denisenko +11
The reconstruction of charged particle trajectories in tracking detectors is a key problem in the analysis of experimental data for high-energy and nuclear physics. The amount of d…
cs.CV2021★ 2 cited
One-Shot Learning with Triplet Loss for Vegetation Classification Tasks
Alexander Uzhinskiy, Gennady Ososkov, Pavel Goncharov +2
Triplet loss function is one of the options that can significantly improve the accuracy of the One-shot Learning tasks. Starting from 2015, many projects use Siamese networks and t…