Our approach models label noise in semantic segmentation with a probabilistic framework that incorporates spatial correlations. By introducing a continuous latent ...

Abstract: Quality metrics play a crucial role in guiding the development of image enhancement algorithms, which have consistently sought effective quality assessment methodologies and comprehensive ...

* Equal contribution. † Co-corresponding author. Each image is paired with one or more text instances with polygon-level annotations. The dataset follows a consistent annotation format, detailed in ...

Abstract: Robust and accurate image matching and registration are foundational tasks for numerous applications. However, current methods often fail when dealing with multimodal remote sensing images ...

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...