Abstract: Test-Time Adaptation (TTA) offers a practical solution for deploying image segmentation models under domain shift without accessing source data or retraining. Among existing TTA strategies, ...

Abstract: Referring remote sensing image segmentation (RRSIS) facilitates flexible scene analysis by leveraging vision-language collaborative interpretation. However, conventional coupled frameworks ...

Abstract: The contributions of Optuna in optimizing CNNs on CIFAR-10 increase model performance by a remarkable extent. It runs gradient boosting machines against linear models of regression to check ...

Abstract: Remote sensing semantic segmentation (RSSS) remains challenged by semantic inconsistency, where spatially contiguous objects of the same category are fragmented into conflicting labels, and ...

Abstract: Accurate medical image segmentation is vital for clinical quantification, disease diagnosis, treatment planning, and other applications. Convolution-based U-shaped architectures excel at ...

Abstract: The number of deaths related to cancer, and particularly the well-known lung cancer, remains the leading cause of morbidity in most regions of the globe, and early detection of the disease ...

Ultrasound guidance is widely used in lumbar regional anesthesia and chronic pain management because it provides radiation-free, portable, and real-time visualization. Among lumbar ultrasound views, ...

Abstract: Medical image segmentation is crucial for early cancer diagnosis, yet traditional methods relying on manual positioning by doctors are inefficient and time-consuming. To address this, we ...

Efforts to halt Russia’s use of the Starlink internet system to guide its drones for attacks on Ukraine have produced “real results,” Ukraine’s defense minister Mykhailo Fedorov said on Sunday.

Abstract: Large vision-language models revolutionized image classification and semantic segmentation paradigms. However, they typically assume a pre-defined set of categories, or vocabulary, at test ...