Поиск

Материалов:
1 005 012

Репозиториев:
30

Авторов:
761 409

Автор

Ключевое слово

Тип статьи

DOI

ORCID

Дополнительно:

Период публикации

Репозиторий

По вашему запросу найдено документов: 16337

Страница 4 из 1634

3D Molecular Representations Based on the Wave Transform for Convolutional Neural Networks

Kuzminykh D., Polykovskiy D., Kadurin A., Zhebrak A., Baskov I., Nikolenko S., Shayakhmetov R., Zhavoronkov A.

© 2018 American Chemical Society. Convolutional neural networks (CNN) have been successfully used

Agricultural Fields Segmentation on Satellite Images Using Convolutional Neural Networks

Larionov R., Kotov N., Priorov A., Semenov A.

neural networks were developed: U-Net with ResNet-34 and SE-ResNeXt-50 backbones and Deeplabv3

Convolutional neural networks and face recognition task

Sochenkova A., Sochenkov I., Makovetskii A., Vokhmintsev A., Melnikov A.

detector. On the next stage we use convolutional neural networks (CNN) to finally solve face recognition

Facial Recognition Using Convolutional Neural Networks

Aristova, D., Molchan, O.

Facial Recognition Using Convolutional Neural Networks

Pixel level based convolutional neural networks model for robot navigation

Pixel level based convolutional neural networks model for robot navigation

On the Classification of Cytological Images of Leukocytes Using Depthwise Separable Convolutional Neural Networks

Shchetinin E.Yu., Glushkova A.G., Demidova A.V., Sevastianov L.A.

images, LeucoCyteNetv2, is proposed, which includes depthwise separable convolutional layers, Separable

Financial robot based on deep neural networks

Rabieinasab Zahra

Financial robot based on deep neural networks

Melanoma Detection Computer System Development with Deep Neural Networks

Shchetinin E.Y., Sevastianov L.A., Kulyabov D.S., Ayryan E.A., Demidova A.V.

the analysis of dermoscopic images using deep learning methods. For this purpose, a deep convolutional neural

Modification of U-Net neural network in the task of multichannel satellite images segmentation

Khryashchev V., Larionov R., Ostrovskaya A., Semenov A.

Results of training of convolutional neural network for satellite four-channel image segmentation

Comparison of Different Convolutional Neural Network Architectures for Satellite Image Segmentation

Khryashchev Vladimir, Ivanovsky Leonid, Pavlov Vladimir, Rubtsov Anton, Ostrovskaya Anna

Convolutional neural networks for detection geo- objects on the satellite images from DSTL, Landsat

Страница 4 из 1634