Zobrazeno 1 - 10
of 2 130
pro vyhledávání: '"Cross modality"'
Autor:
Chaoyang Zhang, Yan Hua
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2024, Iss 1, Pp 1-12 (2024)
Abstract With the rapid development of social networks, short videos have become a popular form of content, especially dance videos. In this context, research on automatically generating music for dance videos shows significant practical value. Howev
Externí odkaz:
https://doaj.org/article/e8a6c1ff84c34ba1ad43e07379299666
Publikováno v:
Data Technologies and Applications, 2023, Vol. 58, Issue 2, pp. 318-343.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/DTA-08-2023-0414
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 19035-19047 (2024)
Visible Infrared Reidentification (VI-ReID) on vessels is an important component task in in the application of UAV remote sensing data, aiming to retrieve images with the same identity as a given vessel by retrieving it from image libraries containin
Externí odkaz:
https://doaj.org/article/66b46c7a24fc4a5c9f9399e91432a0d9
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 16767-16786 (2024)
This article presents a new approach to address the challenge of combining ground-based LiDAR data with satellite images for cross-view image geo-localization. The task is to figure out the position and orientation of the LiDAR within the given satel
Externí odkaz:
https://doaj.org/article/ebbd64e564ab478d8cd16c02eb0e6bec
Publikováno v:
IEEE Access, Vol 12, Pp 125955-125965 (2024)
Human action recognition systems enhance public safety by detecting abnormal behavior autonomously. RGB sensors commonly used in such systems capture personal information of subjects and, as a result, run the risk of potential privacy leakage. On the
Externí odkaz:
https://doaj.org/article/f760e989777048999b9dc5de10e3e278
Autor:
Nirmala Murali, Deepak Mishra
Publikováno v:
IEEE Access, Vol 12, Pp 117994-118006 (2024)
Cross-modality person re-identification is the process of matching person instances across different modalities, which poses a challenge in surveillance systems. These models encounter high intra-modality differences and a very high modality gap. In
Externí odkaz:
https://doaj.org/article/d60eaa3fe36f4d85be426a858dd274ff
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 11899-11914 (2024)
Most state-of-the-art synthetic aperture radar (SAR) ship detection methods based on deep learning require large amounts of labeled data for network training. However, the annotation process requires significant manpower and resources especially for
Externí odkaz:
https://doaj.org/article/e453fea4de09474b947e904cc06463ff
Publikováno v:
Computational Visual Media, Vol 10, Iss 2, Pp 243-260 (2024)
Abstract Hierarchical multi-granularity image classification is a challenging task that aims to tag each given image with multiple granularity labels simultaneously. Existing methods tend to overlook that different image regions contribute differentl
Externí odkaz:
https://doaj.org/article/1f9ddbe7a6d34778be7b51a074acbfc8
Autor:
Azin Shokraei Fard, David C. Reutens, Stuart C. Ramsay, Steven J. Goodman, Soumen Ghosh, Viktor Vegh
Publikováno v:
Frontiers in Neurology, Vol 15 (2024)
BackgroundCross-modality image estimation can be performed using generative adversarial networks (GANs). To date, SPECT image estimation from another medical imaging modality using this technique has not been considered. We evaluate the estimation of
Externí odkaz:
https://doaj.org/article/64259dfa2c694328b0aea3f584349b87
Autor:
Danli Shi, MD, PhD, Yukun Zhou, ME, Shuang He, MD, Siegfried K. Wagner, MD, PhD, Yu Huang, MD, PhD, Pearse A. Keane, MD, PhD, Daniel S.W. Ting, MD, PhD, Lei Zhang, PhD, Yingfeng Zheng, PhD, Mingguang He, MD, PhD
Publikováno v:
Ophthalmology Science, Vol 4, Iss 3, Pp 100441- (2024)
Purpose: We aim to use fundus fluorescein angiography (FFA) to label the capillaries on color fundus (CF) photographs and train a deep learning model to quantify retinal capillaries noninvasively from CF and apply it to cardiovascular disease (CVD) r
Externí odkaz:
https://doaj.org/article/6800ce92746641c7b1796f949dd6d0fb