Abstract: Vision-language models (VLMs) offer flexible object detection through natural language prompts but suffer from performance variability depending on prompt phrasing. In this paper, we ...

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Detecting objects in low-light conditions is challenging since the primary features of objects may be buried in dark regions. To tackle this issue, we propose a prompt-based two-stage enhancement (PTE ...