May 3, 2024, 4:58 a.m. | Vadim Tynchenko, Aleksei Kudryavtsev, Vladimir Nelyub, Aleksei Borodulin, Andrei Gantimurov

cs.CV updates on arXiv.org arxiv.org

arXiv:2405.00686v1 Announce Type: cross
Abstract: This report presents the test results Python library BaumEvA, which implements evolutionary algorithms for optimizing various types of problems, including computer vision tasks accompanied by the search for optimal model architectures. Testing was carried out to evaluate the effectiveness and reliability of the pro-posed methods, as well as to determine their applicability in various fields. Dur-ing testing, various test functions and parameters of evolutionary algorithms were used, which made it possible to evaluate their performance …

abstract algorithms architectures arxiv computer computer vision cs.ai cs.cv cs.ne evolutionary algorithms library optimization python reliability report results search tasks technical test testing type types vision

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US