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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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Computer visionDatabaseDeep learningDeepDream
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
Transfer Learning in Natural Language Processing
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
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?
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
ImageNet classification with deep convolutional neural networks
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
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
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
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
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
ImageNet Large Scale Visual Recognition Challenge
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
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
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
Segmentation Propagation in ImageNet
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
ImageNet: A large-scale hierarchical image database
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
ImageNet: A large-scale hierarchical image database
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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