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1907.11440
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Universal Pooling -- A New Pooling Method for Convolutional Neural Networks
26 July 2019
Junhyuk Hyun
Hongje Seong
Euntai Kim
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Papers citing
"Universal Pooling -- A New Pooling Method for Convolutional Neural Networks"
23 / 23 papers shown
Title
End-to-End Object Detection with Transformers
Nicolas Carion
Francisco Massa
Gabriel Synnaeve
Nicolas Usunier
Alexander Kirillov
Sergey Zagoruyko
ViT
3DV
PINN
456
13,130
0
26 May 2020
Enhancing Operation of a Sewage Pumping Station for Inter Catchment Wastewater Transfer by Using Deep Learning and Hydraulic Model
Duo Zhang
Erlend Skullestad Holland
G. Lindholm
H. Ratnaweera
13
5
0
09 Nov 2018
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks
Juho Lee
Yoonho Lee
Jungtaek Kim
Adam R. Kosiorek
Seungjin Choi
Yee Whye Teh
132
275
0
01 Oct 2018
CBAM: Convolutional Block Attention Module
Sanghyun Woo
Jongchan Park
Joon-Young Lee
In So Kweon
229
16,641
0
17 Jul 2018
Detail-Preserving Pooling in Deep Networks
Faraz Saeedan
Nicolas Weber
Michael Goesele
Stefan Roth
103
91
0
11 Apr 2018
Attention-based Temporal Weighted Convolutional Neural Network for Action Recognition
J. Zang
Le Wang
Zi-yi Liu
Qilin Zhang
Zhenxing Niu
G. Hua
N. Zheng
54
72
0
19 Mar 2018
Attentional Pooling for Action Recognition
Rohit Girdhar
Deva Ramanan
116
321
0
04 Nov 2017
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
808
132,725
0
12 Jun 2017
Is Second-order Information Helpful for Large-scale Visual Recognition?
P. Li
Jiangtao Xie
Qilong Wang
W. Zuo
FAtt
66
251
0
23 Mar 2017
SCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks for Image Captioning
Long Chen
Hanwang Zhang
Jun Xiao
Liqiang Nie
Jian Shao
Wei Liu
Tat-Seng Chua
82
1,666
0
17 Nov 2016
S3Pool: Pooling with Stochastic Spatial Sampling
Shuangfei Zhai
Hui Wu
Abhishek Kumar
Yu Cheng
Y. Lu
Zhongfei Zhang
Rogerio Feris
58
79
0
16 Nov 2016
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
855
36,910
0
25 Aug 2016
Long Short-Term Memory-Networks for Machine Reading
Jianpeng Cheng
Li Dong
Mirella Lapata
AIMat
RALM
115
1,123
0
25 Jan 2016
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.3K
194,641
0
10 Dec 2015
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree
Chen-Yu Lee
Patrick W. Gallagher
Zhuowen Tu
AI4CE
79
484
0
30 Sep 2015
Spectral Representations for Convolutional Neural Networks
Oren Rippel
Jasper Snoek
Ryan P. Adams
63
328
0
11 Jun 2015
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
496
43,717
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.7K
100,575
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
39,637
0
01 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
584
27,345
0
01 Sep 2014
Signal Recovery from Pooling Representations
Joan Bruna
Arthur Szlam
Yann LeCun
104
96
0
16 Nov 2013
Learned-Norm Pooling for Deep Feedforward and Recurrent Neural Networks
Çağlar Gülçehre
Kyunghyun Cho
Razvan Pascanu
Yoshua Bengio
138
170
0
07 Nov 2013
Stochastic Pooling for Regularization of Deep Convolutional Neural Networks
Matthew D. Zeiler
Rob Fergus
201
990
0
16 Jan 2013
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