ImageNet classification with deep convolutional neural networks

Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton

Communications of the ACM

Convolutional Neural NetworkEngineeringMachine LearningNeural NetworkImagenet Classification +17

Very Deep Convolutional Networks for Large-Scale Image Recognition

Karen Simonyan, Andrew Zisserman

arXiv (Cornell University)

Geometric LearningConvolutional Neural NetworkEngineeringMachine LearningConvolutional Network Depth +14

ImageNet: A large-scale hierarchical image database

Jia Deng, Wei Dong, Richard Socher, +3

2009 IEEE Conference on Computer Vision and Pattern Recognition

EngineeringMachine LearningImage RetrievalImage DatabaseImage Recognition (Computer Vision) +19

Distinctive Image Features from Scale-Invariant Keypoints

David Lowe

International Journal of Computer Vision

Machine VisionImage AnalysisFeature DetectionEngineeringPattern Recognition +5

Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

Ross Girshick, Jeff Donahue, Trevor Darrell, +1

Convolutional Neural NetworkEngineeringMachine LearningFeature DetectionRich Feature Hierarchies +15

The Pascal Visual Object Classes (VOC) Challenge

Mark Everingham, Luc Van Gool, Christopher K. I. Williams, +2

International Journal of Computer Vision

Image AnalysisMachine VisionEngineeringObject CategorizationPattern Recognition +5

Efficient Estimation of Word Representations in Vector Space

Tomáš Mikolov, Kai Chen, Greg S. Corrado

arXiv (Cornell University)

EngineeringMachine LearningVector SpaceLarge Language ModelCorpus Linguistics +16

WordNet

George A. Miller

Communications of the ACM

Natural Language ProcessingMeaningful WordsEngineeringLexical ResourceMeaningful Sentences +12

Efficient Estimation of Word Representations in Vector Space

Tomáš Mikolov, Kai Chen, Greg S. Corrado, +1

arXiv (Cornell University)

Caffe

Yangqing Jia, Evan Shelhamer, Jeff Donahue, +5

Convolutional Neural NetworkMachine VisionMachine LearningData ScienceImage Analysis +12