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 ...
Abstract: Low-light image enhancement (LIE) aims to restore images taken under poor lighting conditions, thereby extracting more information and details to robustly support subsequent visual tasks.
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