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pro vyhledávání: '"Khurshid, Numan"'
Cross-modal retrieval aims to measure the content similarity between different types of data. The idea has been previously applied to visual, text, and speech data. In this paper, we present a novel cross-modal retrieval method specifically for multi
Externí odkaz:
http://arxiv.org/abs/2005.00725
Publikováno v:
Neural Information Processing. ICONIP 2019
Retinal blood vessels are considered to be the reliable diagnostic biomarkers of ophthalmologic and diabetic retinopathy. Monitoring and diagnosis totally depends on expert analysis of both thin and thick retinal vessels which has recently been carri
Externí odkaz:
http://arxiv.org/abs/1912.10377
Publikováno v:
CVPR 2019 workshop
This paper proposes to employ a Inception-ResNet inspired deep learning architecture called Tiny-Inception-ResNet-v2 to eliminate bonded labor by identifying brick kilns within "Brick-Kiln-Belt" of South Asia. The framework is developed by training a
Externí odkaz:
http://arxiv.org/abs/1907.05552
The advent of deep perceptual networks brought about a paradigm shift in machine vision and image perception. Image apprehension lately carried out by hand-crafted features in the latent space have been replaced by deep features acquired from supervi
Externí odkaz:
http://arxiv.org/abs/1810.06470
Autor:
Khattak, Muhammad Irfan, Al-Hasan, Mu'ath, Jan, Atif, Saleem, Nasir, Verdú, Elena (1), Khurshid, Numan
Publikováno v:
Re-Unir. Archivo Institucional de la Universidad Internacional de La Rioja
Universitat Rovira i virgili (URV)
Universitat Rovira i virgili (URV)
The novel coronavirus-2019 (Covid-19), a contagious disease became a pandemic and has caused overwhelming effects on the human lives and world economy. The detection of the contagious disease is vital to avert further spread and to promptly treat the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::18e7812354dfb9e5bb3f2d91137e21b9
https://reunir.unir.net/handle/123456789/12318
https://reunir.unir.net/handle/123456789/12318
Akademický článek
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Publikováno v:
2012 International Conference on Emerging Technologies; 1/ 1/2012, p1-6, 6p
