no code implementations • 11 Aug 2022 • Alexey Korovin, Artem Vasilyev, Fedor Egorov, Dmitry Saykin, Evgeny Terukov, Igor Shakhray, Leonid Zhukov, Semen Budennyy
The model was also tested on the open ELPV dataset and demonstrates stable performance with accuracy 94. 6% and F1 score 91. 1%.
1 code implementation • 31 Jul 2022 • Semen Budennyy, Vladimir Lazarev, Nikita Zakharenko, Alexey Korovin, Olga Plosskaya, Denis Dimitrov, Vladimir Arkhipkin, Ivan Oseledets, Ivan Barsola, Ilya Egorov, Aleksandra Kosterina, Leonid Zhukov
The size and complexity of deep neural networks continue to grow exponentially, significantly increasing energy consumption for training and inference by these models.