In optical remote sensing images, the presence of clouds affects the completeness of the
ground observation and further affects the accuracy and efficiency of remote sensing …

Organ segmentation in abdominal or thoracic computed tomography (CT) images plays a
crucial role in medical diagnosis as it enables doctors to locate and evaluate organ …

With the rapid evolution of space-borne capabilities, space edge computing (SEC) is
becoming a new computation paradigm for future integrated space and terrestrial networks …

In light of advancing socio-economic development and urban infrastructure, urban traffic
congestion and accidents have become pressing issues. High-resolution remote sensing …

Existing remote sensing semantic segmentation methods generally ignore the structural
information of objects that is vital in the human visual recognition system. The absence of …

Sea fog is a common weather phenomenon at sea, which reduces visibility and causes
tremendous hazards to marine transportation, marine fishing, and other maritime operations …

Visual localization, a fundamental component of several computer vision tasks, has been
predominantly realized by scene coordinate regression (SCoRe) techniques. These …

For achieving better performance, the majority of deep convolutional neural networks have
endeavored to increase the model capacity by adding more convolutional layers or …

Landsat cloud and cloud shadow detection has a long heritage based on the application of
empirical spectral tests to single image pixels, including the Landsat product Fmask …

Abstract Unsupervised Domain Adaptation (UDA) leverages a labeled source domain to
solve tasks in an unlabeled target domain. While Transformer-based methods have shown …