Skip to search formSkip to main contentSkip to account menu

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… 
Wikipedia (opens in a new tab)

Related topics

Related topics

8 relations
Computer visionDatabaseDeep learningDeepDream

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2019
Highly Cited
2019
Self-Training With Noisy Student Improves ImageNet Classification
We present a simple self-training method that achieves 88.4% top-1 accuracy on ImageNet, which is 2.0% better than the state-of… 
Highly Cited
2018
Highly Cited
2018
Rethinking ImageNet Pre-Training
We report competitive results on object detection and instance segmentation on the COCO dataset using standard models trained… 
Highly Cited
2018
Highly Cited
2018
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
Convolutional Neural Networks (CNNs) are commonly thought to recognise objects by learning increasingly complex representations… 
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… 
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… 
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… 
Highly Cited
2015
Highly Cited
2015
Tiny ImageNet Visual Recognition Challenge
In this work, we investigate the effect of convolutional network depth, receptive field size, dropout layers, rectified… 
Highly Cited
2014
Highly Cited
2014
ImageNet Large Scale Visual Recognition Challenge
The ImageNet Large Scale Visual Recognition Challenge is a benchmark in object category classification and detection on hundreds… 
Highly Cited
2012
Highly Cited
2012
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… 
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… 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)