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السجلات المعروضة 11 -- 19 من 19
Face-Fake-Net: The Deep Learning Method for Image Face Anti-Spoofing Detection : 45
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Due to the increasingly growing demand for user identification on cell phones, PCs, laptops, and so on, face anti-spoofing has risen to significance and is an active research area in academia and industry. The detection ...
LFR face dataset:Left-Front-Right dataset for pose-invariant face recognition in the wild
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
In this work, a new multitask convolutional neural network (CNN) is proposed aiming for the recognition of face under pose variations. Furthermore, the combination of pose estimation for each corresponding pose in a separate ...
CNN Features vs Classical Features for Largescale Cultural Image Retrieval
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Modern applications for cultural content enrichment and management require low delay image retrieval methods in large databases. Classical image retrieval methods are suitable for certain applications but are also known ...
Investigating low-delay deep learning-based cultural image reconstruction
(
Springer Science and Business Media Deutschland GmbH
, 2020 , Conference Paper)
Numerous cultural assets host a great historical and moral value, but due to their degradation, this value is heavily affected as their attractiveness is lost. One of the solutions that most heritage organizations and ...
Deep learning based identification of DDoS attacks in industrial application
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Denial of Service (DoS) attacks are very common type of computer attack in the world of internet today. Automatically detecting such type of DDoS attack packets dropping them before passing through is the best prevention ...
RELIABLE COVID-19 DETECTION USING CHEST X-RAY IMAGES
(
IEEE Computer Society
, 2021 , Conference Paper)
Coronavirus disease 2019 (COVID-19) has emerged the need for computer-aided diagnosis with automatic, accurate, and fast algorithms. Recent studies have applied Machine Learning algorithms for COVID-19 diagnosis over chest ...
A cost-effective 3d acquisition and visualization framework for cultural heritage
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Springer Science and Business Media Deutschland GmbH
, 2021 , Conference Paper)
Museums and cultural institutions, in general, are in a constant challenge of adding more value to their collections. The attractiveness of assets is practically tightly related to their value obeying the offer and demand ...
Dairy Cow Rumination Detection: A Deep Learning Approach
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Springer Science and Business Media Deutschland GmbH
, 2020 , Conference Paper)
Cattle activity is an essential index for monitoring health and welfare of the ruminants. Thus, changes in the livestock behavior are a critical indicator for early detection and prevention of several diseases. Rumination ...
Smartphone-based diabetic retinopathy severity classification using convolution neural networks
(
Springer
, 2021 , Conference Paper)
With diabetes growing at an alarming rate, changes in the retina causes a condition called diabetic retinopathy which eventually leads to blindness. Early detection of diabetic retinopathy is the best way to provide good ...