Natural scene analysis and remote sensing imagery offer immense potential for
advancements in large-scale language-guided context-aware data utilization. This potential …

The field of fine-grained semantic segmentation for a person's face and head, which
includes identifying facial parts and head components, has made significant progress in …

The identification and segmentation of buildings in remote sensing imagery has consistently
been a important point of academic research. This work highlights the effectiveness of using …

This paper proposes an innovative approach to Hierarchical Edge Aware 3D Point Cloud
Learning (HEA-Net) that seeks to address the challenges of noise in point cloud data, and …

Within the domain of medical analysis, extensive research has explored the potential of
mutual learning between Masked Autoencoders (MAEs) and multimodal data. However, the …

Mural paintings, as the main components of painted cultural relics, have essential research
value and historical significance. Due to their age, murals are easily damaged. Obtaining …

Global warming is drastically reducing the polar ice caps and leading to sea level rise.
Continuous monitoring and measurement of this reduction is imperative to estimate the …

Automated vehicle license plate identification, critical in modern transportation systems,
finds application in traffic monitoring, law enforcement, and transportation optimization. This …