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Mahir Sabanoglu
Mahir Sabanoglu

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Jun 18, 2021

A deep learning approach to detection and classification of face masks in surveillance dataset

In this blog, we propose a neural network architecture that is able to differentiate whether people are wearing face masks in a real-time setting. This can be potentially used to monitor individuals who are not wearing face masks in a crowd, which can be useful for many different applications, like…

Computer Science

13 min read

A deep learning approach to detection and classification of face masks in surveillance dataset
A deep learning approach to detection and classification of face masks in surveillance dataset

Apr 16, 2021

Reproducing DECODE, an U-Net which enables fast and dense single-molecule localization with high accuracy

DECODE seems a promising computational tool to localize single emitters at high density in 3D from 2D image frames. For personal educational purposes, we have tried to reproduce DECODE as it was represented in the paper by Artur Speiser et al. called “Deep learning enables fast and dense single-molecule localization…

Reproduction

8 min read

Reproducing DECODE, an U-Net which enables fast and dense single-molecule localization with high…
Reproducing DECODE, an U-Net which enables fast and dense single-molecule localization with high…
Mahir Sabanoglu

Mahir Sabanoglu

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