Keyword

image classification

Description: Image classification is a computer vision task that assigns images to categories using computational methods such as machine learning.

Primary topic: Advanced Neural Network Applications (21%)

Wikidata ID: wiki/Q98526763

OpenAlex ID: keywords/image-classification

ImageNet classification with deep convolutional neural networks

2017 · Alex Krizhevsky, Ilya Sutskever, et al. · Communications of the ACM · 112,073

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Very Deep Convolutional Networks for Large-Scale Image Recognition

2014 · Simonyan, Karen, Zisserman, Andrew · arXiv (Cornell University) · 88,462

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ImageNet: A large-scale hierarchical image database

2009 · Jia Deng, Wei Dong, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 65,132

Densely Connected Convolutional Networks

2017 · Gao Huang, Zhuang Liu, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 48,408

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Going deeper with convolutions

2015 · Christian Szegedy, Wei Liu, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 48,172

ImageNet Large Scale Visual Recognition Challenge

2015 · Olga Russakovsky, Jia Deng, et al. · International Journal of Computer Vision · 38,919

Squeeze-and-Excitation Networks

2018 · Jie Hu, Li Shen, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 35,413

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

2021 · Ze Liu, Yutong Lin, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 35,130

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Rethinking the Inception Architecture for Computer Vision

2016 · Christian Szegedy, Vincent Vanhoucke, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 32,063

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

2015 · Ioffe, Sergey, Szegedy, Christian · arXiv (Cornell University) · 27,823

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CBAM: Convolutional Block Attention Module

2018 · Sanghyun Woo, Jongchan Park, et al. · Lecture notes in computer science · 25,663

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

2017 · Ramprasaath R. Selvaraju, Michael Cogswell, et al. · IEEE International Conference on Computer Vision (ICCV) · 24,289

Learning Multiple Layers of Features from Tiny Images

2024 · Krizhevsky, Alex · 23,383

Textural Features for Image Classification

1973 · Robert M. Haralick, K. Shanmugam, et al. · IEEE Transactions on Systems Man and Cybernetics · 22,832

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

2020 · Dosovitskiy, Alexey, Beyer, Lucas, et al. · arXiv (Cornell University) · 21,319

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Xception: Deep Learning with Depthwise Separable Convolutions

2017 · Francois Chollet · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 20,306

Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

2015 · Kaiming He, Xiangyu Zhang, et al. · IEEE International Conference on Computer Vision (ICCV) · 19,706

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A survey on deep learning in medical image analysis

2017 · Geert Litjens, Thijs Kooi, et al. · Medical Image Analysis · 15,214

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Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

2024 · Ioffe, Sergey · arXiv (Cornell University) · 14,211

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

2000 · Nello Cristianini, John Shawe-Taylor · Cambridge University Press eBooks · 13,866

Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

2017 · Szegedy, Christian, Ioffe, Sergey, et al. · AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI)) · 13,480

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Decoupled Weight Decay Regularization

2017 · Loshchilov, Ilya, Hutter, Frank · arXiv (Cornell University) · 12,513

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Aggregated Residual Transformations for Deep Neural Networks

2017 · Saining Xie, Ross Girshick, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 12,304

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Squeeze-and-Excitation Networks

2019 · Jie Hu, Li Shen, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 12,116

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

2015 · Kaiming He, Xiangyu Zhang, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 11,944

Works count: 87,230

Citation count: 2,207,000