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Showing 20 of 1,917 academic articles
Catarina de Nazaré Pereira Pinheiro, Roosevelt de Lima Sardinha, Pablo Machado Barros, André Bulcão et al. • Applied Sciences
(2024)
Neural networks have been used in various computer vision applications, including noise removal. However, removing seismic noise via deep learning approaches faces a specific issue: the scarcity of labeled data. To address this difficulty, ...
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Open Access (DOAJ)
DOI: 10.3390/app14219721
Václav Diviš, Bastian Spatz, Marek Hrúz • AI
(2024)
Recent research has drawn attention to the ambiguity surrounding the definition and learnability of Out-of-Distribution recognition. Although the original problem remains unsolved, the term “Out-of-Model Scope” detection offers a clearer pe...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/ai5040104
Andrei Mihalea, Adina Magda Florea • Applied Sciences
(2024)
Computer vision has significantly influenced recent advancements in autonomous driving by providing cutting-edge solutions for various challenges, including object detection, semantic segmentation, and comprehensive scene understanding. One...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app14177776
Richard Boadu Antwi, Michael Kimollo, Samuel Yaw Takyi, Eren Erman Ozguven et al. • Smart Cities
(2024)
Advancements in computer vision are rapidly revolutionizing the way traffic agencies gather roadway geometry data, leading to significant savings in both time and money. Utilizing aerial and satellite imagery for data collection proves to b...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/smartcities7030059
William T. Freeman, David Anderson, Paul A. Beardsley, C.N. Dodge et al. • IEEE Computer Graphics and Applications
(1998)
Vision can be a powerful interface device for computers because of its potential for sensing body position, head orientation, direction of gaze, pointing commands, and gestures. Such unencumbered interaction can make computers easier to use...
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DOI: https://doi.org/10.1109/38.674971
Sebastian Nowozin, Christoph H. Lampert • Foundations and Trends® in Computer Graphics and Vision
(2011)
Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structure reflecting task-specific relations and constraints. This mo...
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DOI: https://doi.org/10.1561/0600000033
Asharul Islam Khan, Salim Al-Habsi • Procedia Computer Science
(2020)
During last few years the computer applications have gone dramatic transformation from simple data processing to machine learning, thanks to the availability and accessibility of huge volume of data collected through sensors and internet. T...
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cc-by-nc-nd
DOI: https://doi.org/10.1016/j.procs.2020.03.355
Daniilidis, Kostas, Nikos Paragios A, Maragos, Petros • Lecture notes in computer science
(2010)
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DOI: https://doi.org/10.1007/978-3-642-15561-1
Boaz Zion • Computers and Electronics in Agriculture
(2012)
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DOI: https://doi.org/10.1016/j.compag.2012.07.010
Colby R. Hansen, Tom Henderson • IEEE Transactions on Pattern Analysis and Machine Intelligence
(1989)
The authors explore the connection between CAGD (computer-aided geometric design) and computer vision. A method for the automatic generation of recognition strategies based on the 3-D geometric properties of shape has been devised and imple...
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DOI: https://doi.org/10.1109/34.42856
Daniel A. Hashimoto, Guy Rosman, Elan R. Witkowski, Caitlin E. Stafford et al. • Annals of Surgery
(2019)
OBJECTIVE(S): To develop and assess AI algorithms to identify operative steps in laparoscopic sleeve gastrectomy (LSG). BACKGROUND: Computer vision, a form of artificial intelligence (AI), allows for quantitative analysis of video by comput...
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Open Access
DOI: https://doi.org/10.1097/sla.0000000000003460
PMC: 7216040
Bernt Schiele, Sagerer, Gerhard • Lecture notes in computer science
(2001)
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DOI: https://doi.org/10.1007/3-540-48222-9
Zhenbo Li, Ruohao Guo, Meng Li, Yaru Chen et al. • Computers and Electronics in Agriculture
(2020)
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DOI: https://doi.org/10.1016/j.compag.2020.105672
Yiannis Aloimonos, Azriel Rosenfeld • Science
(1991)
The field of computer vision is devoted to discovering algorithms, data representations, and computer architectures that embody the principles underlying visual capabilities. This article describes how the field of computer (and robot) visi...
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DOI: https://doi.org/10.1126/science.1891713
Neeta Nain, Santosh Kumar Vipparthi, Balasubramanian Raman • Communications in computer and information science
(2020)
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DOI: https://doi.org/10.1007/978-981-15-4015-8
• Lecture notes in computer science
(1992)
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DOI: https://doi.org/10.1007/3-540-55426-2
(2011)
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DOI: https://doi.org/10.1109/iccv17851.2011
Kevin W. Bowyer, P. Jonathon Phillips (1998)
From the Publisher:
Empirical Evaluation Techniques in Computer Vision presents methods that allow comparative assessment of algorithms and the accompanying benefits: places computer vision on solid experimental and scientific grounds, ass...
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Sabit Ahamed Preanto, Tapon Paul, Abid Khan, Md Hasan Imam Bijoy • Data in Brief
(2025)
Moringa Oleifera, which has outstanding nutritional and health benefits, is prized around the world because its leaves are rich in essential vitamins, antioxidants, and minerals that support digestion, help the immune system, and fight infl...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.dib.2025.112174
Jinzhou Luo, Jiazhao Sun, Xiaoli Hao, Heng Liu et al. • Insects
(2026)
Myzus persicae is the most devastating piercing-sucking pest threatening tobacco production. Precise quantification of infestation severity is a prerequisite for precision pest management, making the integration of visual image analysis hig...
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Open Access (DOAJ)
DOI: 10.3390/insects17030305