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Приложение для обнаружения объектов по данным подводной видеосъемки
Горбунов, К. С., Дорощенко, И. В.
An application for detecting objects based on data obtained from underwater video filming
Video object detection program design under two different client-server organizations
Gao, H., Shevchuk, O. G.
The article presents video object detection program design under two different client
Objects detection based on the sea surface video fragments cross-correlation
Ursol, D. V., Chernomorets, D. A., Bolgova, E. V., Chernomorets, А. А.
The work is devoted to the development of a method for the objects detecting on an agitated sea
Superpixel Clustering for Detection of Binary Object Hierarchy Using Modernized Classical Clustering Methods
Kharinov, M.
for reducing of the approximation error E are combined in so-called standard model for detecting of binary
Generalized likelihood ratio test for optical subpixel objects’ detection with hypothesis-dependent background covariance matrix
Golikov, V., Samovarov, O., Zhilyakov, E., Jose, L., Rullan-Lara, Hussain Alazki
Much interest has arisen in the problem of detecting weak optical subpixel objects in a sequence
Augmentation Tools for Object Detection in Satellite Images by Using U-Net Neural Network
Zhuk, A., Ablameyko, S., Абламейко, С. В.
The paper proposes an approach to detect discrete objects on images, namely buildings using the U
Deep learning based approach for vertebrae detection on spine X-RAY
Charapennikau, R. M.
from standard object detection methods is that proposed ones (methods) are not limited to finding a
On the Implementation of ALFA – Agglomerative Late Fusion Algorithm for Object Detection
Saveleva I., Razinkov E.
– an agglomerative late fusion algorithm for object detection. ALFA agglomeratively clusters detector predictions
Visual target detection algorithm YOLO and its application areas
Guo, Qicheng, Li, Bohan
YOLO (You Only Look Once) is an object detection algorithm based on deep neural networks, which
Decisive rule experimental studies to detect objects on the background of the earth surface using polarization differences of radar signals
Burdanova, E. V., Zhilyakov, E. G., Oleynik, I. I., Mamatov, A. V., Nemtsev, A. N.
The task of stationary and moving object detection against the background of the underlying surface

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