The standard approach to tackling computer vision problems is to train deep convolutional
neural network (CNN) models using large-scale image datasets that are representative of …

In this work we have presented the approach for the astronomical object recognition and
detection of its near-zero motion in the series of images and compressed videos from the …

The standard approach to tackling computer vision problems is to train deep convolutional
neural network (CNN) models using large-scale image datasets which are representative of …

The very fast technological progress provokes the creation of a big volume of the
astronomical data, which is fed in the different forms. There are various directions in science …

In this poster paper, we present a framework that blends self-supervised contrastive pre=
training with semi-supervised learning using fine-tuning, as a means to perform successful …

As the core technologies represented by Internet of Things (IoT) technology and computer
vision technology booming, object detection algorithms based on deep learning have …