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- Название статьи
- Глубокие нейронные сети в задачах идентификации и верификации лиц
- Авторы
- Панфилова Ирина Евгеньевна panfilova_2015@bk.ru, аспирант, инженер, ФГБОУ ВО «Самарский государственный технический университет», г. Самара, Россия
- В разделе
- ТЕХНИЧЕСКАЯ ЗАЩИТА ИНФОРМАЦИИ. Управление доступом
- Ключевые слова
- распознавание лиц / глубокое обучение / сверточные нейронные сети / zero-shot обучение / функции потерь
- Год
- 2024 номер журнала 2 Страницы 33 - 41
- Индекс УДК
- 004.93'1
- Код EDN
- INKXHV
- Код DOI
- 10.52190/2073-2600_2024_2_33
- Финансирование
- Тип статьи
- Научная статья
- Аннотация
- Проведен всесторонний аналитический обзор технологий глубокого обучения для задач идентификации и верификации пользователей по лицу, включая архитектуры нейронных сетей, алгоритмы их обучения, а также метрики оценки эффективности готовых решений на крупномасштабных наборах данных. Проведенный анализ показал, что основные усилия современных исследований в области распознавания лиц направлены на разработку новых математических методов обучения уже существующих архитектур нейронных сетей.
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- Список цитируемой литературы
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