T.J. Thomson receives funding from the Australian Research Council. He is an affiliate with the ARC Centre of Excellence for Automated Decision Making & Society. Aaron J. Snoswell receives research ...
Abstract: 3D object detection in LiDAR point clouds faces significant challenges in sparse point clouds and unfamiliar environments. Existing methods often rely on simple multi-layer perceptrons or ...
Aiming at the problem of inaccurate fruit recognition and fruit diameter detection in the persimmon inspection process, this research proposes a novel persimmon accurate recognition and fruit diameter ...
Experts have confirmed that the mysterious object hurtling towards us, previously dubbed A11pl3Z, is an "interstellar object." The cosmic interloper, officially named 3I/ATLAS, is only the third of ...
This study addresses challenges in agricultural pest detection, such as false positives and missed detections in complex environments, by proposing an enhanced Mask-RCNN model integrated with a ...
Kinil Doshi is a Senior VP at Citibank and a fintech expert in banking compliance and risk management with two decades of experience. In this article, I want to explore AI applications in fraud ...
This repository contains code for Deep learning based Object Detection and Instance Segmentation using Mask RCNN in OpenCV (Python / C++) blog post. wget http ...
This is a Flask-based web application that performs object detection on images,videos using the Mask R-CNN model. Users can upload images,video and the application will detect and highlight objects in ...
If you have an Arlo Secure subscription for your camera, you may have noticed an interesting recent addition: A beta program for "Custom Detection" that allows you to literally train Arlo's AI to ...
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