Multiple sclerosis (MS) is a complex autoimmune disease characterized by inflammatory
processes, demyelination, neurodegeneration, and axonal damage within the central …

In this paper, we propose an Effective and lightweight Transformer for image shadow
detection and removal named SpA-Former to recover a shadow-free image from a single …

Most deep-learning methods that achieve high segmentation accuracy require deep network
architectures that are too heavy and complex to run on embedded devices with limited …

Acquiring images of epiphytes growing on trees using Unmanned Aerial Vehicles (UAVs)
enables botanists to efficiently collect data on these important plant species. Despite the …

This paper focuses on crack detection and digital inpainting of ancient fresco cultural
heritage, and proposes a method to use diffusion model for fresco inpainting. It effectively …

High-resolution remote sensing images (HRRSIs) contain rich local spatial information and
long-distance location dependence, which play an important role in semantic segmentation …

In this paper, we propose a robust and efficient end-to-end model named UWDepth for fast
monocular depth estimation that incorporates underwater domain knowledge into it as a …

In this paper, an adaptive modulation and coding (AMC) scheme is proposed that aims to
maximize the energy efficiency of a single link by jointly scheduling the coding rate …

Optical remote sensing imagery is at the core of many Earth observation activities. The
regular, consistent and global-scale nature of the satellite data is exploited in many …

This research focuses on the detection and digital restoration of cracks in ancient frescoes
using a CNN model. The proposed method effectively preserves the detailed information of …