Remote sensing object detection is a rapidly growing field in artificial intelligence, playing a critical role in advancing ...
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: Domain adaptive object detection methods for remote sensing images (RSIs) typically rely on large-scale target-domain data and multiepoch offline adaption training. However, the wide ...
Abstract: This paper proposes YOLO-CBS, a lightweight object detection model enhanced through dual-path optimization for feature representation and cross-layer fusion efficiency. Firstly, the CBS ...
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