Results 111 to 120 of about 5,457 (203)

Enhanced CycleGAN Dehazing Network

Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2021
Zahra Anvari, Vassilis Athitsos
openaire   +2 more sources

Cyclegan Network for Sheet Metal Welding Drawing Translation

, 2022
In intelligent manufacturing, the quality of machine translation engineering drawings will directly affect its manufacturing accuracy. Currently, most of the work is manually translated, greatly reducing production efficiency.
Zhan, Gaohui, Tian, Dan, Song, Zhiwei, Yao, Hui   +3 more
core  

Developing an Improved Cycle Architecture for AI-Based Generation of New Structures Aimed at Drug Discovery

Molecules
Drug discovery involves a crucial step of optimizing molecules with the desired structural groups. In the domain of computer-aided drug discovery, deep learning has emerged as a prominent technique in molecular modeling.
Chun Zhang, Liangxu Xie, Xiaohua Lu, Rongzhi Mao, Lei Xu, Xiaojun Xu   +5 more
doaj   +1 more source

Synthetic CT generation from CBCT and MRI using StarGAN in the Pelvic Region

Radiation Oncology
Rationale and objectives This study evaluated StarGAN, a deep learning model designed to generate synthetic computed tomography (sCT) images from magnetic resonance imaging (MRI) and cone-beam computed tomography (CBCT) data using a single model.
Paritt Wongtrakool, Chanon Puttanawarut, Pimolpun Changkaew, Supakiet Piasanthia, Pareena Earwong, Nauljun Stansook, Suphalak Khachonkham   +6 more
doaj   +1 more source

Improving Wheat Leaf Disease Classification: Evaluating Augmentation Strategies and CNN-Based Models With Limited Dataset

IEEE Access
Global food security is seriously threatened by wheat leaf disease, which makes effective and precise disease detection and classification techniques necessary.
Syed Taha Yeasin Ramadan, Tanjim Sakib, Fahmid Al Farid, Md. Shofiqul Islam, Junaidi Bin Abdullah, Md Roman Bhuiyan, Sarina Mansor, Hezerul Bin Abdul Karim   +7 more
doaj   +1 more source

SM-CycleGAN: crop image data enhancement method based on self-attention mechanism CycleGAN

Scientific Reports
AbstractCrop disease detection and crop baking stage judgement require large image data to improve accuracy. However, the existing crop disease image datasets have high asymmetry, and the poor baking environment leads to image acquisition difficulties and colour distortion.
Dian Liu, Yang Cao, Jing Yang, Jianyu Wei, Jili Zhang, Chenglin Rao, Banghong Wu, Dabin Zhang   +7 more
openaire   +3 more sources

Generative design and dual-hazard evaluation of shear-wall layouts using a Swin Transformer-enhanced CycleGAN

Generating shear-wall layouts automatically has gained increasing attention recently, mainly because it can make structural design more efficient and consistent.
Jiaji Wang, Yihang Wang
core   +1 more source

Guiding the One-to-One Mapping in CycleGAN via Optimal Transport

, 2019
CycleGAN is capable of learning a one-to-one mapping between two data distributions without paired examples, achieving the task of unsupervised data translation. However, there is no theoretical guarantee on the property of the learned one-to-one mapping
Song, Yuxuan, Zhou, Zhiming, Lu, Guansong, Yu, Yong, Ren, Kan   +4 more
core   +1 more source

Multi-Scale Cross-Domain Augmentation of Tea Datasets via Enhanced Cycle Adversarial Networks

Agriculture
To tackle phenotypic variability and detection accuracy issues of tea shoots in open-air gardens due to lighting and varietal differences, this study proposes Tea CycleGAN and a data augmentation method.
Taojie Yu, Jianneng Chen, Zhiyong Gui, Jiangming Jia, Yatao Li, Chennan Yu, Chuanyu Wu   +6 more
doaj   +1 more source

HE-CycleGAN: A Symmetric Network Based on High-Frequency Features and Edge Constraints Used to Convert Facial Sketches to Images

The task of converting facial sketch images to facial images aims to generate reasonable and clear facial images from a given facial sketch image. However, the facial images generated by existing methods are often blurry and suffer from edge overflow ...
Yuekai Tang, Jie Li, Ruiqi Du, Bin Li
core   +1 more source