Abstract: Small uncrewed autonmous vehicles (UAVs) equipped with deep learning models are increasingly used to detect small objects both on the ground and in aerial environments. Since small objects ...
The code is validated on python 3.10.14 + CUDA 11.8 + pyTorch 2.4.0. It should work for newer python, CUDA and pyTorch versions but not guaranteed. conda create -n ...
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
New benchmark shows top LLMs achieve only 29% pass rate on OpenTelemetry instrumentation, exposing the gap between ...
New Advancements in Power System Condition Monitoring, Fault Diagnosis and Environmental Compatibility ...
This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...
Today, we are releasing new research on detecting backdoors in open-weight language models. Our research highlights several key properties of language model backdoors, laying the groundwork for a ...
Notably, object detection techniques–commonly used in computer vision for localizing and classifying regions of interest–are now being explored to enhance radiomic analysis by accurately identifying ...
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