Abstract Object Re-identification (Re-ID) aims to identify specific objects across different
times and scenes, which is a widely researched task in computer vision. For a prolonged …

With the advent of advancements in deep learning approaches, such as deep convolution
neural network, residual neural network, adversarial network; U-Net architectures are most …

Existing methods for arbitrary-shaped text detection in natural scenes face two critical
issues, ie,(1) fracture detections at the gaps in a text instance; and (2) inaccurate detections …

In the desert region of northwest China, the frequency of wind-sand disasters is high. All
types of concrete buildings built in this area face severe wind erosion due to high wind …

Accurate segmentation of honeycomb lung lesions from lung CT images plays a crucial role
in the diagnosis and treatment of various lung diseases. However, the availability of …

For the effective diagnosis of cardio vascular disease (CVD), anatomical characteristics of
the heart must be examined, which depends on segmenting the cardiac tissues of interest …

Cloud classification is a critical task in meteorology, with applications in weather forecasting,
climate modelling, and environmental monitoring. Traditionally, cloud observations are …

Purpose This study aimed to develop a hybrid multi‐channel network to detect multileaf
collimator (MLC) positional errors using dose difference (DD) maps and gamma maps …

Medical imaging is an area of medicine that focuses on image-based diagnosis. This area
has allowed physician to improve diagnosis and treatments through non-invasive …

Detectar el cáncer de piel cuando se encuentra en sus etapas iniciales a menudo permite la
posibilidad de contar con más opciones de tratamiento. En algunos casos de la enfermedad …