Results 81 to 90 of about 4,995,351 (314)
Deep learning architectures for Computer Vision [PDF]
Deep learning has become part of many state-of-the-art systems in multiple disciplines (specially in computer vision and speech processing). In this thesis Convolutional Neural Networks are used to solve the problem of recognizing people in images, both ...
Roig Marí, Carlos
core
Learning Robust Representations for Computer Vision
Unsupervised learning techniques in computer vision often require learning latent representations, such as low-dimensional linear and non-linear subspaces.
Aravkin, Aleksandr Y.+3 more
core +1 more source
ABSTRACT A 70‐year‐old presents with 6 weeks of progressive bilateral vision loss and headaches. He was also recently treated for presumed sciatica. His exam on admission is notable for poor visual acuity (no light perception), optic nerve atrophy bilaterally with swelling and disc hemorrhage on the left eye and left foot drop.
Malya Sahu, Rohini Samudralwar
wiley +1 more source
Greedy refinement of object proposals via boundary‐aligned minimum bounding box search
Recently developed object detectors rely on automatically generated object proposals, instead of using a dense sliding window search scheme; generating good object proposals has therefore become crucial for improving the computational cost and accuracy ...
Han‐Mu Park+2 more
doaj +1 more source
Cavity Detection in Steel-Pipe Culverts Using Infrared Thermography
Finding efficient and less expensive techniques for different aspects of culvert inspection is in great demand. This study assesses the potential of infrared thermography (IRT) to detect the presence of cavities in the soil around a culvert, specifically
Davood Kalhor+6 more
doaj +1 more source
When Computer Vision Gazes at Cognition [PDF]
Joint attention is a core, early-developing form of social interaction. It is based on our ability to discriminate the third party objects that other people are looking at.
Gao, Tao+3 more
core +1 more source
Glial Fibrillary Acidic Protein Astrocytopathy Based on a Two‐Center Chinese Cohort Study
ABSTRACT Objective Glial fibrillary acidic protein astrocytopathy (GFAP‐A) is a recently defined nosological form belonging to the class of autoimmune inflammatory disorders affecting the central nervous system (CNS). Here, we report the clinical and MRI characteristics, treatment, and prognosis of a GFAP‐A cohort from two centers in China.
Ti Wu+13 more
wiley +1 more source
ABSTRACT Objective Prognostication of disease course and prediction of treatment response in multiple sclerosis is an unmet need. We compared the performance of serum neurofilament light chain Z scores (age‐ and BMI‐adjusted) with absolute concentrations for the prediction of response to disease‐modifying therapy.
Maximilian Einsiedler+43 more
wiley +1 more source
When SAM2 meets video camouflaged object segmentation: a comprehensive evaluation and adaptation
This study investigates the application and performance of the Segment Anything Model 2 (SAM2) in the challenging task of video camouflaged object segmentation (VCOS).
Yuli Zhou+5 more
doaj +1 more source
RECONSTRUCTING WHITE WALLS: MULTI-VIEW, MULTI-SHOT 3D RECONSTRUCTION OF TEXTURELESS SURFACES [PDF]
The reconstruction of the 3D geometry of a scene based on image sequences has been a very active field of research for decades. Nevertheless, there are still existing challenges in particular for homogeneous parts of objects.
A. Ley, R. Hänsch, O. Hellwich
doaj +1 more source