Image data augmentation approaches: A comprehensive survey and future directions
Deep learning algorithms have exhibited impressive performance across various computer
vision tasks; however, the challenge of overfitting persists, especially when dealing with …
vision tasks; however, the challenge of overfitting persists, especially when dealing with …
Precision farming has become a hot research topic in recent years due to the advancement
of sensing technologies, increased computer performance, and advanced deep learning …
of sensing technologies, increased computer performance, and advanced deep learning …
Tackling catastrophic forgetting and background shift in continual semantic segmentation
Deep learning approaches are nowadays ubiquitously used to tackle computer vision tasks
such as semantic segmentation, requiring large datasets and substantial computational …
such as semantic segmentation, requiring large datasets and substantial computational …
MSAug: Multi-Strategy Augmentation for rare classes in semantic segmentation of remote sensing images
Recently, remote sensing images have been widely used in many scenarios, gradually
becoming the focus of social attention. Nevertheless, the limited annotation of scarce …
becoming the focus of social attention. Nevertheless, the limited annotation of scarce …