Abstract Learning-based Neural Video Codecs (NVCs) have emerged as a compelling
alternative to standard video codecs, demonstrating promising performance, and simple and …

The work addresses the issue of interactive image segmentation, relevant to modern
computer vision applications. The aim of the work is to improve the resolution of interactive …

Adversarial training enhances neural network robustness but suffers from a tendency to
overfit and increased generalization errors on clean data. This work introduces CLAT, an …

Structural health monitoring (SHM) is essential for the early detection of infrastructure
defects, such as cracks in concrete bridge pier. but often faces challenges in efficiency and …

We present a framework that enables an object detector to self-enhance its accuracy while
preserving its efficiency. This framework is particularly useful in settings where a single …

В данной работе исследуется проблема интерактивной сегментации изображений,
актуальная для современных приложений компьютерного зрения. Цель работы …