To address the lack of suitable training data for deep-learning semantic segmentation models in urban landscaping, researchers developed a method that generates a training dataset without the need for ...

A research team has now developed a new few-shot semantic segmentation framework, SegPPD-FS, capable of identifying infected regions from only one or a few labeled samples.

Alongside the model, a high-quality benchmark dataset covering 101 pest and disease classes has been publicly released. Together, they offer a ...

A study has found that the way medical images are prepared before analysis can have a significant impact on the performance of deep learning models.