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Pruning for compression of visual pattern recognition networks: a survey from deep neural networks perspective
SA Bhalgaonkar, MV Munot, AD Anuse - Pattern recognition and data …, 2022 - Springer
Abstract Visual Pattern Recognition Networks (VPRN) delivers high performance using deep
neural networks. With the advancements in deep neural networks VPR network has gained …
neural networks. With the advancements in deep neural networks VPR network has gained …
QuickLoc: adaptive deep-learning for fast indoor localization with mobile devices
S Tiku, P Kale, S Pasricha - ACM Transactions on Cyber-Physical …, 2021 - dl.acm.org
Indoor localization services are a crucial aspect for the realization of smart cyber-physical
systems within cities of the future. Such services are poised to reinvent the process of …
systems within cities of the future. Such services are poised to reinvent the process of …
A theoretical framework towards building a lightweight model for pothole detection using knowledge distillation approach
Despite recent advances in deep learning, the rise of edge devices, and the exponential
growth of Internet of Things (IoT) connected devices undermine the performance of deep …
growth of Internet of Things (IoT) connected devices undermine the performance of deep …
[PDF][PDF] The compression techniques applied on deep learning model
H He, L Huang, Z Huang… - Highlights in Science …, 2022 - pdfs.semanticscholar.org
In recent years, the penetration rate of smartphones has gradually completed, artificial
intelligence is the cutting-edge technology that can trigger disruptive changes. Deep …
intelligence is the cutting-edge technology that can trigger disruptive changes. Deep …
Toward real-time indoor localization with smartphones with conditional deep learning
S Tiku, P Kale, S Pasricha - Machine Learning for Indoor Localization and …, 2023 - Springer
Indoor localization services are a crucial aspect for the realization of smart cyber-physical
systems within cities of the future. Such services are poised to reinvent the process of …
systems within cities of the future. Such services are poised to reinvent the process of …
Image distillation based screening for x-ray crystallography diffraction images
L Chen, K Xu, X Zheng, Y Zhu… - … IEEE intl conf on parallel & …, 2021 - ieeexplore.ieee.org
The modern synchrotron radiation facilities are producing massive diffraction images, which
present a severe problem for data processing due to the high dimensionality of imaging …
present a severe problem for data processing due to the high dimensionality of imaging …
[PDF][PDF] Knowledge distillation for face recognition on lightweight neural networks
L Gertz, A Lindmark - 2021 - odr.chalmers.se
Face recognition is a common biometric used in everyday commercial products and is also
widely used in safety and surveillance. Accuracy is critical when face recognition is used for …
widely used in safety and surveillance. Accuracy is critical when face recognition is used for …