Abstract: In recent years, the deployment of supervised machine learning techniques for segmentation tasks has significantly increased. Nonetheless, the annotation process for extensive datasets ...

Abstract: Road segmentation from high-resolution remote sensing imagery is critical for tasks such as autonomous driving, urban planning, and geographic information systems. However, challenges such ...

We present SegLLM, a novel multi-round interactive segmentation model that leverages conversational memory of both visual and textual outputs to reason over previously segmented objects and past ...

Forbes contributors publish independent expert analyses and insights. Brian Delp is NY-based, covering retail, fashion, and home products. Rather than moving through clearly defined life stages, ...