Results 31 to 40 of about 1,186,551 (242)
IMAGE-TO-IMAGE TRANSLATION FOR ENHANCED FEATURE MATCHING, IMAGE RETRIEVAL AND VISUAL LOCALIZATION [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 The performance of machine learning and deep learning algorithms for image analysis depends significantly on the quantity and quality of the training data. The generation of annotated training data is often costly, time-consuming and laborious.
M. S. Mueller +4 more
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4K Real Time Image to Image Translation Network With Transformers
IEEE Access, 2022 CNNs have traditionally been applied in computer vision. Recently, applying Transformer networks, originally a technique in natural language processing, to computer vision has received much attention and produced superior results.
Kei Shibasaki +2 more
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Image-to-Image Translation: Methods and Applications [PDF]
IEEE Transactions on Multimedia, 2022 24 pages, 21 ...
Yingxue Pang +3 more
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Consistent Embedded GAN for Image-to-Image Translation
IEEE Access, 2019 Generative Adversarial Networks (GANs) have achieved remarkable progress in image-to-image translation tasks. However, these methods have the common problem that lacking the ability to generate both perceptually realistic and diverse images in the target
Feng Xiong, Qianqian Wang, Quanxue Gao
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An Investigation on Text-Based Cross-Language Picture Retrieval Effectiveness through the Analysis of User Queries [PDF]
, 2012 Purpose: This paper describes a study of the queries generated from a user experiment for cross-language information retrieval (CLIR) from a historic image archive. Italian speaking users generated 618 queries for a set of known-item search tasks.
Clough, Paul, Petrelli, Daniela
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TransGaGa: Geometry-Aware Unsupervised Image-To-Image Translation [PDF]
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 Accepted to CVPR 2019.
Wu, Wayne +4 more
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Invertible Autoencoder for Domain Adaptation
Computation, 2019 The unsupervised image-to-image translation aims at finding a mapping between the source ( A ) and target ( B ) image domains, where in many applications aligned image pairs are not available at training.
Yunfei Teng, Anna Choromanska
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IEEE Access, 2019 Recent work in unsupervised image-to-image translation by adversarially learning mapping between different domains, which cannot distinguish the foreground and background.
Liuchun Yuan, Dihu Chen, Haifeng Hu
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Multi-feature contrastive learning for unpaired image-to-image translation
Complex & Intelligent Systems, 2022 Unpaired image-to-image translation for the generation field has made much progress recently. However, these methods suffer from mode collapse because of the overfitting of the discriminator.
Yao Gou +4 more
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Aerial Visible-to-Infrared Image Translation: Dataset, Evaluation, and Baseline
Journal of Remote Sensing, 2023 Aerial visible-to-infrared image translation aims to transfer aerial visible images to their corresponding infrared images, which can effectively generate the infrared images of specific targets.
Zonghao Han +4 more
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