Results 21 to 30 of about 5,349,509 (291)

Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey [PDF]

open access: yesIEEE Access, 2018
Deep learning is at the heart of the current rise of artificial intelligence. In the field of computer vision, it has become the workhorse for applications ranging from self-driving cars to surveillance and security.
Naveed Akhtar, Ajmal Saeed Mian
semanticscholar   +1 more source

A Comprehensive Survey of Transformers for Computer Vision [PDF]

open access: yesarXiv.org, 2022
As a special type of transformer, Vision Transformers (ViTs) are used to various computer vision applications (CV), such as image recognition. There are several potential problems with convolutional neural networks (CNNs) that can be solved with ViTs ...
Sonain Jamil   +2 more
semanticscholar   +1 more source

ROBUST AERIAL OBJECT TRACKING IN HIGH DYNAMIC FLIGHT MANEUVERS [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
Integrating drones into the civil airspace is one of the biggest challenges for civil aviation, responsible authorities and involved com- panies around the world in the upcoming years. For a full integration into non-segregated airspace such a system has
A. Nussberger, H. Grabner, L. van Gool
doaj   +1 more source

A survey of Optimal Transport for Computer Graphics and Computer Vision

open access: yesComputer graphics forum (Print), 2023
Optimal transport is a long‐standing theory that has been studied in depth from both theoretical and numerical point of views. Starting from the 50s this theory has also found a lot of applications in operational research.
Nicolas Bonneel, Julie Digne
semanticscholar   +1 more source

Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development [PDF]

open access: yesProc. ACM Hum. Comput. Interact., 2021
Data is a crucial component of machine learning. The field is reliant on data to train, validate, and test models. With increased technical capabilities, machine learning research has boomed in both academic and industry settings, and one major focus has
M. Scheuerman, Emily L. Denton, A. Hanna
semanticscholar   +1 more source

Automatic evaluation of practices in Moodle for Self Learning in Engineering

open access: yesJournal of Technology and Science Education, 2015
The first years in engineering degree courses are usually made of large groups with a low teacher-student ratio. Overcrowding in classrooms hinders continuous assessment much needed to promote independent learning.
Carles Sanchez   +5 more
doaj   +1 more source

Assessing bikeability with street view imagery and computer vision [PDF]

open access: yesTransportation Research Part C: Emerging Technologies, 2021
Studies evaluating bikeability usually compute spatial indicators shaping cycling conditions and conflate them in a quantitative index. Much research involves site visits or conventional geospatial approaches, and few studies have leveraged street view ...
Koichi Ito, Filip Biljecki
semanticscholar   +1 more source

A Convolutional Neural Network for Nonrigid Structure from Motion

open access: yesInternational Journal of Digital Multimedia Broadcasting, 2022
In this study, we propose a reconstruction and optimization neural network (RONN), a novel neural network for nonrigid structure from motion, which is completed by an unsupervised convolution neural network.
Yaming Wang   +3 more
doaj   +1 more source

Computer Vision Syndrome [PDF]

open access: yesWorkplace Health & Safety, 2017
With the increased use of electronic devices with visual displays, computer vision syndrome is becoming a major public health issue. Improving the visual status of workers using computers results in greater productivity in the workplace and improved visual comfort.
openaire   +2 more sources

Are object detection assessment criteria ready for maritime computer vision? [PDF]

open access: yes, 2019
Maritime vessels equipped with visible and infrared cameras can complement other conventional sensors for object detection. However, application of computer vision techniques in maritime domain received attention only recently.
Dong, Huixu   +3 more
core   +2 more sources

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