Who Cited It

Aggregated Residual Transformations for Deep Neural Networks

2017 · 12,015 citations · 7 from inside this corpus

Saining Xie, Ross Girshick, Piotr Dollár low, Zhuowen Tu, Kaiming He

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

Aggregated Residual Transformations for Deep Neural Networks (2017)Aggregated Residual Transform…Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh… (2015)Batch Normalization: Accelera…Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning (2017)Inception-v4, Inception-ResNe…Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Tr… (2016)Google's Neural Machine Trans…Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning (2017)Inception-v4, Inception-ResNe…DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition (2013)DeCAF: A Deep Convolutional A…DeCAF: A Deep Convolutional Activation Feature for Generic Visual\n Recognition (2013)DeCAF: A Deep Convolutional A…Momentum Contrast for Unsupervised Visual Representation Learning (2020)Momentum Contrast for Unsuper…mixup: Beyond Empirical Risk Minimization (2017)mixup: Beyond Empirical Risk …Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review (2017)Deep Convolutional Neural Net…GCNet: Non-Local Networks Meet Squeeze-Excitation Networks and Beyond (2019)GCNet: Non-Local Networks Mee…A State-of-the-Art Survey on Deep Learning Theory and Architectures (2019)A State-of-the-Art Survey on …Towards Total Recall in Industrial Anomaly Detection (2022)Towards Total Recall in Indus…ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders (2023)ConvNeXt V2: Co-designing and…
13 of 13 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
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What this paper cites, inside the corpus

PaperYearCited
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Sh…201524,404
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning201712,734
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Tr…20165,668
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning20174,487
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition20133,564
DeCAF: A Deep Convolutional Activation Feature for Generic Visual\n Recognition20131,803

What cites it, inside the corpus

PaperYearCited
Momentum Contrast for Unsupervised Visual Representation Learning202012,515
mixup: Beyond Empirical Risk Minimization20174,806
Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review20173,570
GCNet: Non-Local Networks Meet Squeeze-Excitation Networks and Beyond20192,125
A State-of-the-Art Survey on Deep Learning Theory and Architectures20191,619
Towards Total Recall in Industrial Anomaly Detection20221,560
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders20231,523

Links

DOI · OpenAlex record

Topics

Domain Adaptation and Few-Shot LearningComputer Science
Advanced Neural Network ApplicationsComputer Science
Adversarial Robustness in Machine LearningComputer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports5 author record(s) attached.
  • supports65 reference(s) recorded.
  • supportsThe DOI's year agrees with the publication year.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:40+00:00.

sha256 7e3d99a592f7f61f…