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Reproduction of the architectures and results of the most significant computer vision papers

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amritpurshotam/computer-vision-papers

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ImageNet Challenge Paper Reproductions

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Reproduction of the architectures and results of some of the most significant papers that came out of the ImageNet challenge.

Getting Started

This project uses Python 3.7.5. Setup your virtual environmnet of choice then install with the below

pip install -e .

Papers

Paper Year Val Top-5 % Reproduction
AlexNet 2012 83.00
ZFNet 2013 84.00
GoogLeNet 2014 89.93
VGGNet 2014 92.00
ResNet 2015 95.51
Xception 2016 94.50
SENet 2017 97.75

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MIT

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Reproduction of the architectures and results of the most significant computer vision papers

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