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InceptionNeXt: When Inception Meets ConvNeXt
29 March 2023
Weihao Yu
Pan Zhou
Shuicheng Yan
Xinchao Wang
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Papers citing
"InceptionNeXt: When Inception Meets ConvNeXt"
24 / 124 papers shown
Title
mixup: Beyond Empirical Risk Minimization
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Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
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25 Oct 2017
Random Erasing Data Augmentation
Zhun Zhong
Liang Zheng
Guoliang Kang
Shaozi Li
Yi Yang
118
3,660
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16 Aug 2017
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
Xiangyu Zhang
Xinyu Zhou
Mengxiao Lin
Jian Sun
AI4TS
164
6,912
0
04 Jul 2017
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
888
133,171
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12 Jun 2017
DiracNets: Training Very Deep Neural Networks Without Skip-Connections
Sergey Zagoruyko
N. Komodakis
UQCV
OOD
79
119
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01 Jun 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
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17 Apr 2017
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
534
10,373
0
16 Nov 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
424
20,226
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07 Oct 2016
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
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07 Oct 2016
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
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3DV
999
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0
25 Aug 2016
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
437
10,560
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21 Jul 2016
Gaussian Error Linear Units (GELUs)
Dan Hendrycks
Kevin Gimpel
182
8
0
27 Jun 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
291
18,354
0
02 Jun 2016
Deep Networks with Stochastic Depth
Gao Huang
Yu Sun
Zhuang Liu
Daniel Sedra
Kilian Q. Weinberger
226
2,366
0
30 Mar 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
386
14,307
0
23 Feb 2016
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.4K
195,003
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
894
27,479
0
02 Dec 2015
Highway Networks
R. Srivastava
Klaus Greff
Jürgen Schmidhuber
187
1,771
0
03 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
521
43,392
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.3K
150,577
0
22 Dec 2014
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
517
43,762
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17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.8K
100,712
0
04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.7K
39,704
0
01 Sep 2014
Network In Network
Min Lin
Qiang Chen
Shuicheng Yan
314
6,291
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16 Dec 2013
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