Remote sensing object detection is a rapidly growing field in artificial intelligence, playing a critical role in advancing ...
Abstract: The detection of small objects within intricate backgrounds poses a significant challenge in the domain of aerial image object detection. In this manuscript, a spatial context-aware ...
As schools nationwide grapple with the best ways to keep students and staff safe from gun violence, a Gloucester County ...
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: Large-scale high-resolution remote sensing images (LSHR) are increasingly adopted for object detection, since they capture finer details. However, LSHR imposes a substantial computational ...