Results 31 to 40 of about 4,995,351 (314)
A Convolutional Neural Network for Nonrigid Structure from Motion
International 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
CNN Variants for Computer Vision: History, Architecture, Application, Challenges and Future Scope
Electronics, 2021 Computer vision is becoming an increasingly trendy word in the area of image processing. With the emergence of computer vision applications, there is a significant demand to recognize objects automatically.
Dulari Bhatt +7 more
semanticscholar +1 more source
Deep reinforcement learning in computer vision: a comprehensive survey [PDF]
Artificial Intelligence Review, 2021 Deep reinforcement learning augments the reinforcement learning framework and utilizes the powerful representation of deep neural networks. Recent works have demonstrated the remarkable successes of deep reinforcement learning in various domains ...
Ngan T. H. Le +4 more
semanticscholar +1 more source
Automatic evaluation of practices in Moodle for Self Learning in Engineering
Journal 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
Are object detection assessment criteria ready for maritime computer vision? [PDF]
, 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
Large image datasets: A pyrrhic win for computer vision? [PDF]
IEEE Workshop/Winter Conference on Applications of Computer Vision, 2020 In this paper we investigate problematic practices and consequences of large scale vision datasets (LSVDs). We examine broad issues such as the question of consent and justice as well as specific concerns such as the inclusion of verifiably pornographic ...
Vinay Uday Prabhu, Abeba Birhane
semanticscholar +1 more source
Learning to Resize Images for Computer Vision Tasks [PDF]
IEEE International Conference on Computer Vision, 2021 For all the ways convolutional neural nets have revolutionized computer vision in recent years, one important aspect has received surprisingly little attention: the effect of image size on the accuracy of tasks being trained for.
Hossein Talebi, P. Milanfar
semanticscholar +1 more source
The Visual Computer, 2021 The research progress in multimodal learning has grown rapidly over the last decade in several areas, especially in computer vision. The growing potential of multimodal data streams and deep learning algorithms has contributed to the increasing ...
Khaled Bayoudh +3 more
semanticscholar +1 more source
BronchoX: bronchoscopy exploration software for biopsy intervention planning
Healthcare Technology Letters, 2018 Virtual bronchoscopy (VB) is a non-invasive exploration tool for intervention planning and navigation of possible pulmonary lesions (PLs). A VB software involves the location of a PL and the calculation of a route, starting from the trachea, to reach it.
Esmitt Ramírez +6 more
doaj +1 more source
Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades [PDF]
, 2015 Creating datasets for Neuromorphic Vision is a challenging task. A lack of available recordings from Neuromorphic Vision sensors means that data must typically be recorded specifically for dataset creation rather than collecting and labelling existing ...
Ajinkya eJayawant +4 more
core +3 more sources