Материалов:
1 005 012

Репозиториев:
30

Авторов:
761 409

По вашему запросу найдено документов: 32148

Страница 4 из 3215

An Improved Super-Resolution Generative Adversarial Network
Jie, L., Lijun, Sh., Guoqing, L.
An improved SRGAN image generation model proposed to address the increasing demand for high
Developing a Seq2Seq neural network using visual attention to transform mathematical expressions from images to LaTeX
Vyaznikov, P., Kotilevets, I.
solves the im2latex problem, which is confirmed by the results of measuring metrics. Generated captions
Оценка искажений изображений при субпиксельном сдвиге камеры
Захаренко, А. В., Шевчук, О. Г., Цветков, В. Ю., Zakharenko, A. V., Shevchuk, O. G., Tsviatkou, V. Yu.
. The algorithm is based on the use of high spatial resolution images to generate low spatial resolution images
Color image restoration with Fuzzy Gaussian mixture model driven nonlocal filter
Surya Prasath V., Delhibabu R.
© Springer International Publishing Switzerland 2015. Color image denoising is one of the classical
Bag of Deep Features for Classification of Gigapixel Histological Images
Brancati, N., Cicala, C., Frucci, M.
complex problems in the field of pattern recognition and image analysis, even if serious challenges remain
Anomaly Detection with Neural Network Using a Generator
Markov A.S., Kotlyarov E.Y., Anosova N.P., Popov V.A., Karandashev Y.M., Apushkinskaya D.E.
and the creation of generator which can produce synthetic anomalies. Examples of processed images are given
Signaux sonores des mammifères dans le champ biologique de signaux comme image acoustique de l'espace
Nikolskii A.A., Vanisova E.A.
they regularly use. Information accumulates in the traces of vital activity left by many generations of animals
PTPFusion: A progressive infrared and visible image fusion network based on texture preserving
Yixiang Lu, Weijian Zhang, Dawei Zhao, Yucheng Qian, Davydau, M., Qingwei Gao
stages are merged as the output of TPB. Finally, the fused image will be generated by the decoder
On Effectiveness of the Adversarial Attacks on the Computer Systems of Biomedical Images Classification
Shchetinin E.Y., Glushkova A.G., Blinkov Y.A.
The problems of vulnerability of the computer systems of biomedical images classification
On Effectiveness of the Adversarial Attacks on the Computer Systems of Biomedical Images Classification
Vishnevskiy V.M., Samouylov K.E., Kozyrev D.V.
The problems of vulnerability of the computer systems of biomedical images classification

Страница 4 из 3215

Фасеты

Новости проекта

Новости

Партнеры

КФУ
ТГУ
Elpub
СФУ
Webpublishers

Индексация

BASE
WorldCat
OpenAIRE
EDS
core