Image augmentation is a technique used in machine learning and computer vision to artificially increase the size and diversity of a dataset by applying various transformations to the original images.
Abstract: Medical image segmentation methods based on deep learning usually suffer from potential domain shift. To address this problem, the domain generalization (DG) method has been studied. However ...
Official implementation of "Reinforcement Learning-Enhanced Model Predictive Control with Meta-Learning for Online Compensation of Dynamic Model Errors".
Abstract: Audio-visual zero-shot learning (ZSL) leverages both video and audio information for model training, aiming to classify new video categories that were not seen during the training. However, ...