Results 21 to 30 of about 1,189,521 (278)
Conditional Image-to-Image Translation [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 9 pages, 9 figures, IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Lin, Jianxin +4 more
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Visually Grounded Word Embeddings and Richer Visual Features for Improving Multimodal Neural Machine Translation [PDF]
, 2017 In Multimodal Neural Machine Translation (MNMT), a neural model generates a translated sentence that describes an image, given the image itself and one source descriptions in English.
Delbrouck, Jean-Benoit +2 more
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MRI Cross-Modality Image-to-Image Translation [PDF]
Scientific Reports, 2020 AbstractWe present a cross-modality generation framework that learns to generate translated modalities from given modalities in MR images. Our proposed method performs Image Modality Translation (abbreviated as IMT) by means of a deep learning model that leverages conditional generative adversarial networks (cGANs).
Yang, Qianye +5 more
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Frontiers in Plant Science, 2022 Deep learning shows its advantages and potentials in plant disease recognition and has witnessed a profound development in recent years. To obtain a competing performance with a deep learning algorithm, enough amount of annotated data is requested but in
Mingle Xu +7 more
doaj +1 more source
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
core +1 more source
Image-Translation-Based Road Marking Extraction From Mobile Laser Point Clouds
IEEE Access, 2020 Road markings are one of the most important safety elements in a road network, and they play a critical role in traffic safety. However, the automatic extraction of road markings remains a technical challenge in the fields of smart city construction and ...
Lirong Liu +6 more
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Depth Estimation From a Single RGB Image Using Fine-Tuned Generative Adversarial Network
IEEE Access, 2021 Estimating the depth map from a single RGB image is important to understand the nature of the terrain in robot navigation and has attracted considerable attention in the past decade. The existing approaches can accurately estimate the depth from a single
Naeem Ul Islam, Jaebyung Park
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Panoramic Image-to-Image Translation
, 2023 In this paper, we tackle the challenging task of Panoramic Image-to-Image translation (Pano-I2I) for the first time. This task is difficult due to the geometric distortion of panoramic images and the lack of a panoramic image dataset with diverse conditions, like weather or time.
Kim, Soohyun +6 more
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Review of Generative Adversarial Networks in mono- and cross-modal biomedical image registration
Frontiers in Neuroinformatics, 2022 Biomedical image registration refers to aligning corresponding anatomical structures among different images, which is critical to many tasks, such as brain atlas building, tumor growth monitoring, and image fusion-based medical diagnosis.
Tingting Han +7 more
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Two-Way Generation of High-Resolution EO and SAR Images via Dual Distortion-Adaptive GANs
Remote Sensing, 2023 Synthetic aperture radar (SAR) provides an all-weather and all-time imaging platform, which is more reliable than electro-optical (EO) remote sensing imagery under extreme weather/lighting conditions.
Yuanyuan Qing +4 more
doaj +1 more source