Results 141 to 150 of about 9,200 (172)

VitiForge: a new procedural pipeline approach for grapevine disease identification under data scarcity. [PDF]

Front Plant Sci
Farinati Leite E, Brizola Fontoura L, de Freitas A, Disconzi Dallegrave G, Volpe de Freitas R, Mello VS, Valiati JF.   +6 more
europepmc   +1 more source

Enhancing the dataset of CycleGAN-M and YOLOv8s-KEF for identifying apple leaf diseases. [PDF]

PLoS One
Gao L, Wu H, Sheng Y, Liu K, Wu H, Zhang X.   +5 more
europepmc   +1 more source

IMAGE STYLE TRANSFER USING CYCLEGAN

International Research Journal of Modernization in Engineering Technology and Science
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CycleGAN-STF: Spatiotemporal Fusion via CycleGAN-Based Image Generation

IEEE Transactions on Geoscience and Remote Sensing, 2021
Due to the trade-off of temporal resolution and spatial resolution, spatiotemporal image-fusion uses existing high-spatial-low-temporal (HSLT) and high-temporal-low-spatial (HTLS) images as prior knowledge to reconstruct high-temporal-high-spatial (HTHS) images.
Jia Chen, Lizhe Wang, Ruyi Feng, Peng Liu, Wei Han, Xiaodao Chen   +5 more
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ES-CycleGAN: An Improved CycleGAN for VI-to-IR Translation

2021 40th Chinese Control Conference (CCC), 2021
Infrared image has been used in many fields due to its strong environmental adaptability. But it has little data volume because of its prohibitive cost. In order to compensate for the deficiency of the infrared image dataset, CycleGAN is improved to be named ES-CycleGAN, which is used for translation of VI (visible images) to IR (infrared images ...
Tong Su, Feng Pan, Jingying Cao
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CycleGAN-VC-GP: Improved CycleGAN-based Non-parallel Voice Conversion

2020 IEEE 20th International Conference on Communication Technology (ICCT), 2020
Non-parallel voice conversion is an important but challenging task due to the lack of parallel data. Recently, Cycle-Consistent Generative Adversarial Networks based voice conversion (CycleGAN-VC) has achieved great success in non-parallel voice conversion.
Chao Wang, Yi-Biao YU
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Facial Animation Using CycleGAN

2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), 2021
This paper mainly shows the image translation from people's faces to anime characters by using Cycle-Consistent Adversarial Network (CycleGAN). Generative adversarial networks (GANs) have become a major field of deep learning in recent years. CycleGAN, as a variant of GAN, has made profound achievements in image translation problems.
Li Quan, Haiyi Zhang
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CycleGAN -based Cloud2painting Translation

2021 IEEE International Conference on Computer Science, Artificial Intelligence and Electronic Engineering (CSAIEE), 2021
Image2image translation is one of the most popular image processing tasks. In this work, we use the powerful CycleGAN model and some traditional image processing technology to transform images of cloud into sketch portraits of specific objects. Precisely, this work extract the outer contour of the cloud and use the trained CycleGAN model to transform ...
Jingshuo Liu, Shu Zhang, Xinrui Ma, Maoxuan Feng   +3 more
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Voice Conversion Using Conditional CycleGAN

2018 International Conference on Computational Science and Computational Intelligence (CSCI), 2018
Voice conversion (VC) modifies characteristics of speech, such as gender and speaker identities. The VC can be applied to various tasks including speaking assistance and speaker anonymization. Generally, such VC techniques require parallel speech data for training, which is very expensive. Recently, voice conversion has been accomplished using CycleGAN,
Dongsuk Yook, In-Chul Yoo, Seungho Yoo
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