Living organisms are made up of hundreds of thousands of cells that cooperate to create the organs and systems that breathe, eat, move, and think. Now, researchers from Japan have developed a new way ...
RF-DETR is a real-time, transformer-based object detection model architecture developed by Roboflow and released under the Apache 2.0 license. RF-DETR is the first real-time model to exceed 60 AP on ...
Abstract: Out-of-distribution (OoD) inputs pose a persistent challenge to deep learning models, often triggering overconfident predictions on non-target objects. While prior work has primarily focused ...
A high-performance, privacy-first web application for real-time object detection that runs entirely in your browser using WebGPU acceleration and ONNXRuntime-Web. No server required, no data leaves ...
Penn State researchers have developed a new navigation tool that could reshape digital assistance for people with visual impairments. The smartphone-based system, called NaviSense, uses artificial ...
With the rapid development of marine resource exploitation and the increasing demand for underwater robot inspection, achieving reliable target perception in turbid, low-illumination, and spectrally ...
The risk of fires in both indoor and outdoor scenarios is constantly rising around the world. The primary goal of a fire detection system is to minimize financial losses and human casualties by ...
Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...
Abstract: Accurate and efficient small object detection using multimodal remote sensing images on resource-constrained aerial platforms is a challenging task. Most existing solutions rely on complex ...
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