Tech Xplore

Lightweight framework enables faster, more accurate object detection for UAV remote sensing

Remote sensing object detection is a rapidly growing field in artificial intelligence, playing a critical role in advancing ...
GitHub

LLMDet: Learning Strong Open-Vocabulary Object Detectors under the Supervision of Large Language Models

This is the official PyTorch implementation of LLMDet. Recent open-vocabulary detectors achieve promising performance with abundant region-level annotated data. In this work, we show that an ...
GitHub

uqlm: Uncertainty Quantification for Language Models

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 ...
IEEE

Hybrid Gaussian Deformation for Efficient Remote Sensing Object Detection

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 ...
IEEE

A Synthetic Data Generation Approach With Dynamic Camera Poses for Long-Range Object Detection in AI Applications

Abstract: Accurate long-range object detection is essential for applications such as security and surveillance. However, existing datasets often lack the complexity needed to represent real-world ...