no code implementations • 26 Sep 2023 • Dmitry Lyutkin, Andrey Soloviev, Dmitry Zhukov, Denis Pozdnyakov, Muhammad Shahid Iqbal Malik, Dmitry I. Ignatov
This research presents an innovative strategy, utilizing the RuBERT model, for categorizing user inquiries in the field of medical consultation with a focus on expert specialization.
1 code implementation • 11 Dec 2019 • Igor Slinko, Anna Vorontsova, Dmitry Zhukov, Olga Barinova, Anton Konushin
We train visual odometry model on synthetic data and do not use ground truth poses hence this model can be considered unsupervised.
no code implementations • 10 Oct 2019 • David Prokhorov, Dmitry Zhukov, Olga Barinova, Anna Vorontsova, Anton Konushin
We find that while in many cases the accuracy of SLAM is very good, the robustness is still an issue.
no code implementations • 26 Sep 2019 • Pavel Kirsanov, Airat Gaskarov, Filipp Konokhov, Konstantin Sofiiuk, Anna Vorontsova, Igor Slinko, Dmitry Zhukov, Sergey Bykov, Olga Barinova, Anton Konushin
We present a novel dataset for training and benchmarking semantic SLAM methods.