Abstract: Recent advancements in remote sensing object detection have progressed, but distinguishing objects from complex backgrounds remains difficult, especially for tiny objects. To address this, ...
Remote sensing object detection is a rapidly growing field in artificial intelligence, playing a critical role in advancing ...
As schools nationwide grapple with the best ways to keep students and staff safe from gun violence, a Gloucester County ...
Abstract: With the development of deep convolutional neural networks, significant progress has been made in object detection over the past few years. Current detection algorithms demonstrate high ...
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 ...
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