Remote sensing object detection is a rapidly growing field in artificial intelligence, playing a critical role in advancing ...
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 ...
Researchers at Osaka Metropolitan University have developed SORA-DET, a lightweight and high-performance deep learning model for UAV-based remote ...
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 ...