Results 41 to 50 of about 4,995,351 (314)
Deep Learning for Computer Vision: A Brief Review
Computational Intelligence and Neuroscience, 2018 Over the last years deep learning methods have been shown to outperform previous state-of-the-art machine learning techniques in several fields, with computer vision being one of the most prominent cases.
A. Voulodimos +3 more
semanticscholar +1 more source
Manuscript Investigation in the Sinai II Project
Digital Presentation and Preservation of Cultural and Scientific Heritage, 2014 This work is concerned with the analysis of historical manuscripts. The manuscripts investigated are partially in a bad condition, due to their age, bad storage conditions etc.
Fabian Hollaus +4 more
doaj +1 more source
Healthcare Technology Letters, 2019 Optical colonoscopy is known as a gold standard screening method in detecting and removing cancerous polyps. During this procedure, some polyps may be undetected due to their positions, not being covered by the camera or missed by the surgeon.
Mohammad Ali Armin +3 more
doaj +1 more source
TnTViT-G: Transformer in Transformer Network for Guidance Super Resolution
IEEE Access, 2023 Image Super Resolution is a potential approach that can improve the image quality of low-resolution optical sensors, leading to improved performance in various industrial applications.
Armin Mehri +2 more
doaj +1 more source
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey [PDF]
IEEE 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, A. Mian
semanticscholar +1 more source
Tensor Methods in Computer Vision and Deep Learning [PDF]
Proceedings of the IEEE, 2021 Tensors, or multidimensional arrays, are data structures that can naturally represent visual data of multiple dimensions. Inherently able to efficiently capture structured, latent semantic spaces and high-order interactions, tensors have a long history ...
Yannis Panagakis +6 more
semanticscholar +1 more source
Improved softmax loss for deep learning-based face and expression recognition
Cognitive Computation and Systems, 2019 In recent years, deep convolutional neural networks (CNN) have been widely used in computer vision and significantly improved the performance of image recognition tasks.
Jiancan Zhou +4 more
doaj +1 more source
NeuroImage: Clinical, 2020 Autism Spectrum Disorder (ASD) is a brain disorder that is typically characterized by deficits in social communication and interaction, as well as restrictive and repetitive behaviors and interests.
Mladen Rakić +4 more
doaj +1 more source
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision [PDF]
, 2016 Traditional architectures for solving computer vision problems and the degree of success they enjoyed have been heavily reliant on hand-crafted features.
Babu, R. Venkatesh +5 more
core +2 more sources
Highly Discriminative Physiological Parameters for Thermal Pattern Classification
Sensors, 2021 Infrared Thermography (IRT) is a non-contact, non-intrusive, and non-ionizing radiation tool used for detecting breast lesions. This paper analyzes the surface temperature distribution (STD) on an optimal Region of Interest (RoI) for extraction of ...
Laura Benita Alvarado-Cruz +4 more
doaj +1 more source