Abstract: Low-light image enhancement becomes increasingly important in computer vision applications, especially in scenarios such as nighttime surveillance, autonomous driving, and medical imaging.

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 ...

Microscopy plays a pivotal role in modern biomedical research, enabling the visualization of fine structures in complex ...

Abstract: Fully supervised image segmentation can effectively extract power line (PL) and transmission tower (TT) from aerial images. However, its performance is constrained by the lack of ...