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Academic Articles & Research Papers
Showing 20 of 547 academic articles
Qing Huang, Xiaoyan Zhang, Anqi Jin, Menghui Lei et al. • Journal of Marine Science and Engineering
(2025)
Many studies have used various time-frequency feature extraction methods to convert ship-radiated noise into three-dimensional (3D) data suitable for computer vision (CV) models, which have shown good results in public datasets. However, tr...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/jmse13030599
Zhiwen Xiong, Yuanchun Li • Scientific Reports
(2026)
Abstract Salient object detection (SOD) plays a crucial role in computer vision by mimicking human visual attention to identify and segment the most prominent objects in a scene. The advent of depth sensing technologies has propelled RGB-D ...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-026-56237-7
Dimitra G. Georgopoulou, Orestis Stavrakidis-Zachou, Orestis Stavrakidis-Zachou, Nikos Mitrizakis et al. • Frontiers in Animal Science
(2021)
Monitoring and understanding fish behavior is crucial for achieving precision in everyday husbandry practices (i.e. for optimizing farm performance), and for improving fish welfare in aquaculture. Various intelligent monitoring and control ...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fanim.2021.754520
Tryan Aditya Putra, Syahidah Izza Rufaida, Jenq-Shiou Leu • IEEE Access
(2020)
In recent years, deep learning has taken the spotlight in automated medical bioimaging. However, the performance of current state-of-the-art score stems primarily from well-tuned parameters and architecture. There is still only limited rese...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2020.2976045
Olutosin Ajibola Ademola, Eduard Petlenkov, Mairo Leier • IEEE Access
(2023)
Scene texts serve as valuable information for humans and autonomous systems to make informed decisions. Processing scene texts poses significant difficulties for computer systems due to several factors, primarily due to variations in image ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3283931
Feng Xiong, Jintao Wang, Guohua Zhang, Xueming Shi et al. • Advances in Civil Engineering
(2024)
In the construction of the civil engineering infrastructure, the noise and vibration are affected by the geological conditions, adopting specific construction techniques based on the geological conditions is of great significance in suppres...
DOAJ
Open Access (DOAJ)
DOI: 10.1155/2024/3599911
Opeyemi Bamigbade, Mark Scanlon, John Sheppard • IEEE Access
(2025)
Embeddings remain the best way to represent image features, but do not always capture all latent information. This is still a problem in representation learning, and computer vision descriptors struggle with precision and accuracy. Improvin...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3564496
Wenan Yuan • Data
(2024)
As one of the most important topics in contemporary computer vision research, object detection has received wide attention from the precision agriculture community for diverse applications. While state-of-the-art object detection frameworks...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/data9020036
Zhanping Song, Zifan Yang, Runke Huo, Yuwei Zhang • Applied Sciences
(2023)
With the rise of the fourth industrial revolution, traditional methods of analyzing investment have been transformed into intelligent methods under big data and the Internet of Things. This has created a new approach to solving practical en...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app13095454
Roberto Manduchi, James M. Coughlan • Communications of the ACM
(2011)
Computer vision holds great promise for helping persons with blindness or visual impairments (VI) to interpret and explore the visual world. To this end, it is worthwhile to assess the situation critically by understanding the actual needs ...
OPENALEX
Open Access
DOI: https://doi.org/10.1145/2063176.2063200
PMC: 3398697
Shuyuan Xu, Jun Wang, Wenchi Shou, Tuan Ngo et al. • Archives of Computational Methods in Engineering
(2020)
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Open Access
DOI: https://doi.org/10.1007/s11831-020-09504-3
Xiong Zhihui • InTech eBooks
(2008)
This book presents research trends on computer vision, especially on application of robotics, and on advanced approachs for computer vision (such as omnidirectional vision). Among them, research on RFID technology integrating stereo vision ...
OPENALEX
Open Access
DOI: https://doi.org/10.5772/72
Manas Kamal Bhuyan • CRC Press eBooks
(2019)
The book familiarizes readers with fundamental concepts and issues related to computer vision and major approaches that address them. The focus of the book is on image acquisition and image formation models, radiometric models of image form...
OPENALEX
DOI: https://doi.org/10.1201/9781351248396
Victor Wiley, Thomas Lucas • International Journal of Artificial Intelligence Research
(2018)
Computer vision has been studied from many persective. It expands from raw data recording into techniques and ideas combining digital image processing, pattern recognition, machine learning and computer graphics. The wide usage has attracte...
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cc-by-sa
DOI: https://doi.org/10.29099/ijair.v2i1.42
Larry H. Matthies, Mark W. Maimone, Andrew Johnson, Yang Cheng et al. • International Journal of Computer Vision
(2007)
OPENALEX
DOI: https://doi.org/10.1007/s11263-007-0046-z
Yoshiaki Shirai • Springer eBooks
(1987)
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DOI: https://doi.org/10.1007/978-3-642-82429-6
Peter Meer, Doron Mintz, Azriel Rosenfeld, Dong Yoon Kim • International Journal of Computer Vision
(1991)
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DOI: https://doi.org/10.1007/bf00127126
Ben G. Weinstein • Journal of Animal Ecology
(2017)
A central goal of animal ecology is to observe species in the natural world. The cost and challenge of data collection often limit the breadth and scope of ecological study. Ecologists often use image capture to bolster data collection in t...
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Open Access
DOI: https://doi.org/10.1111/1365-2656.12780
Song Chun Zhu, Ying Nian Wu • Springer eBooks
(2023)
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DOI: https://doi.org/10.1007/978-3-030-96530-3
Gaudenz M. Danuser • Cell
(2011)
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Open Access
DOI: https://doi.org/10.1016/j.cell.2011.11.001