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Abstract: Instance segmentation is widely used in autonomous driving as a basic computer vision task, because it can perform both instance-level distinction and pixel-level segmentation. In this paper ...

I’m fine-tuning an instance segmentation model for multiple defect categories (industrial defects) on a dataset with a high proportion of background-only images. Some augmentations (e.g., random crops ...

In today’s competitive market, companies must rethink how they connect with customers. Market segmentation—the practice of dividing a broad market into subgroups based onshared characteristics—has ...

Background: Uterine broad ligament fibroids present unique surgical challenges due to their proximity to vital pelvic structures. This study aimed to evaluate artificial intelligence (AI)-guided MRI ...

Abstract: Instance segmentation of remote sensing images (RSIs) is an essential task for a wide range of applications such as land planning and intelligent transport. Instance segmentation of RSIs is ...

Quantifying the transport of floating macroplastic debris (FMPD) in waterways is essential for understanding the plastic emission from land. However, no robust tool has been developed to monitor FMPD.