Abstract: Space noncooperative object detection (SNCOD) is an essential part of space situation awareness. The localization and segmentation capabilities of the salient object detection (SOD) method ...
ABSTRACT: Effectively detecting subtle surface defects in strip steel is vital for industrial quality assurance; however, most existing approaches fail to strike an optimal balance between accuracy ...
Tensorflow Object Detection API is the easy to use framework for creating a custom deep learning model that solves object detection problems. If you already have your own dataset, you can simply ...
(CNN) — Astronomers may have discovered a previously unknown type of astronomical object, nicknamed “Cloud-9,” that could shed light on dark matter, one of the biggest mysteries in the universe. Dark ...
ABSTRACT: This paper discusses the task of enhancing malaria detection in thick blood smear images by proposing a UNet-based denoising algorithm. Noise and artifacts in these images can compromise the ...
The technology utilises a Convolutional Neural Network to initially identify the railway path ahead of the locomotive or train. Credit: Jaromir Chalabala/Shutterstock.com. Rail Vision has received a ...
Deep learning models have made significant progress in the field of object detection. However, traditional object detection architectures such as Faster R-CNN and YOLO face great challenges in ...
“Grey’s Anatomy” actor James Pickens Jr. saves lives on screen, but says early detection saved his. The actor, who has portrayed Dr. Richard Webber on the ABC hit for more than 20 years, appeared in ...
fraud-detection-project/ ├── README.md ├── requirements.txt ├── config.yaml ├── Makefile ├── data/ │ ├── raw/ # input CSV (synthetic credit card transactions) │ └── processed/ # feature-ready datasets ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results