Learning to See in Nighttime Driving Scenes with Inter-frequency Priors
Currently, image-to-image translation methods have achieved significant performance with
the help of deep CNNs and GANs, but most existing models are not suitable for autonomous …
the help of deep CNNs and GANs, but most existing models are not suitable for autonomous …
[HTML][HTML] Automatic multi-view pose estimation in focused cardiac ultrasound
J Freitas, J Gomes-Fonseca, AC Tonelli… - Medical Image …, 2024 - Elsevier
Focused cardiac ultrasound (FoCUS) is a valuable point-of-care method for evaluating
cardiovascular structures and function, but its scope is limited by equipment and operator's …
cardiovascular structures and function, but its scope is limited by equipment and operator's …
A new benchmark for camouflaged object detection: RGB-D camouflaged object detection dataset
D Zhang, C Wang, Q Fu - Open Physics, 2024 - degruyter.com
This article aims to provide a novel image paradigm for camouflaged object detection, ie,
RGB-D images. To promote the development of camouflaged object detection tasks based …
RGB-D images. To promote the development of camouflaged object detection tasks based …
Infrared image generation with unpaired training samples
CAI Wei, J Bo, J Xinhao… - Optics and Precision …, 2023 - ope.lightpublishing.cn
To address the difficulties in constructing an infrared image dataset from measurements and
the high cost of testing and production, this study proposes a generation countermeasure …
the high cost of testing and production, this study proposes a generation countermeasure …
Malware Traffic Classification Based on GAN and BP Neural Networks
Y Duan, L Wang, D Liu, B Deng, Y Tian - International Conference on …, 2022 - Springer
Based on the imbalance of network traffic detection samples, we propose a model based on
generative adversarial network and back propagation neural networks for malware traffic …
generative adversarial network and back propagation neural networks for malware traffic …