Semantic segmentation consists of classifying each pixel of an image and constitutes an
essential step towards scene recognition and understanding. Deep convolutional encoder …

Super-resolution semantic segmentation (SRSS) is a technique that aims to obtain high-
resolution semantic segmentation results based on resolution-reduced input images. SRSS …

Assessing the stealthiness of adversarial perturbations is challenging due to the lack of
appropriate evaluation metrics. Existing evaluation metrics, eg, L p norms or Image Quality …

Given the reference (distortion-free) image, full-reference image quality assessment (FR-
IQA) algorithms seek to assess the perceptual quality of the test image. Over the years, many …

In this contribution, we discuss the basic concepts of genotypes and phenotypes in tree-
based GP (TGP), and then analyze their behavior using five real-world datasets. We show …

In this technical report we present first results of applying Genetic Programming (GP) to
obtain equations for constructing reduced order models of quantum systems, with a …

The number of defect samples on the surface of aluminum profiles is small, and the
distribution of abnormal visual features is dispersed, such that the existing supervised …

Due to inherent limitations in processing power, storage, and bandwidth, multimedia data
processing is a challenge in wireless multimedia sensor network (WMSN). Also, protection …

Given that the factors influencing image quality vary significantly with scene, content, and
distortion type, particularly in the context of regional heterogeneity, we propose an adaptive …