Abstract: Detecting distant small objects under adverse visual conditions such as rain, fog, or low light remains a critical challenge in autonomous driving. To address this issue, we propose a novel ...
UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...
Abstract: Deep learning-based object detectors face unique challenges in construction sites, including severe occlusions from complex spatial arrangements, similar appearances between different ...
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