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ImageNet

Known as: ImageNet Large Scale Visual Recognition Challenge, ImageNet competition 
The ImageNet project is a large visual database designed for use in visual object recognition software research. As of 2016, over ten million URLs of… Expand
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Papers overview

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Review
2019
Review
2019
The classic supervised machine learning paradigm is based on learning in isolation, a single predictive model for a task using a… Expand
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Highly Cited
2018
Highly Cited
2018
The purpose of this study is to determine whether current video datasets have sufficient data for training very deep… Expand
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Highly Cited
2017
Highly Cited
2017
We trained a large, deep convolutional neural network to classify the 1.2 million high-resolution images in the ImageNet LSVRC… Expand
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Highly Cited
2017
Highly Cited
2017
Deep learning thrives with large neural networks and large datasets. However, larger networks and larger datasets result in… Expand
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Highly Cited
2016
Highly Cited
2016
We propose two efficient approximations to standard convolutional neural networks: Binary-Weight-Networks and XNOR-Networks. In… Expand
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Highly Cited
2015
Highly Cited
2015
The ImageNet Large Scale Visual Recognition Challenge is a benchmark in object category classification and detection on hundreds… Expand
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Highly Cited
2015
Highly Cited
2015
Rectified activation units (rectifiers) are essential for state-of-the-art neural networks. In this work, we study rectifier… Expand
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Highly Cited
2012
Highly Cited
2012
ImageNet is a large-scale hierarchical database of object classes. We propose to automatically populate it with pixelwise… Expand
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Highly Cited
2009
Highly Cited
2009
The explosion of image data on the Internet has the potential to foster more sophisticated and robust models and algorithms to… Expand
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Highly Cited
2009
Highly Cited
2009
The explosion of image data on the Internet has the potential to foster more sophisticated and robust models and algorithms to… Expand
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