The automatic detection of surface-level irregularities—defects or anomalies—in 3D data is of significant interest for various real-world purposes, such as industrial quality inspection, ...
Google Ads quietly rolls out a powerful new AI model that is better able to catch policy violations and malicious activity. Google published a research paper about a new AI model for detecting fraud ...
Abstract: Remote sensing images object detection (RSD) involves identifying the position and categorization of objects found in these images. Nevertheless, remote sensing images (RSI) possess ...
Object detection in complex maritime environments is particularly challenging due to factors such as dynamic backgrounds, varying object appearances, and limited computational resources available for ...
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 ...
RF-DETR is a real-time, transformer-based object detection and instance segmentation model architecture developed by Roboflow and released under the Apache 2.0 license. RF-DETR is the first real-time ...
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