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EPSANet: An Efficient Pyramid Squeeze Attention Block on Convolutional
  Neural Network

EPSANet: An Efficient Pyramid Squeeze Attention Block on Convolutional Neural Network

30 May 2021
Hu Zhang
Keke Zu
Jian Lu
Yuru Zou
Deyu Meng
    SSeg
ArXivPDFHTML

Papers citing "EPSANet: An Efficient Pyramid Squeeze Attention Block on Convolutional Neural Network"

32 / 32 papers shown
Title
SA-Net: Shuffle Attention for Deep Convolutional Neural Networks
SA-Net: Shuffle Attention for Deep Convolutional Neural Networks
Qing-Long Zhang
AI4TS
50
542
0
30 Jan 2021
FcaNet: Frequency Channel Attention Networks
FcaNet: Frequency Channel Attention Networks
Zequn Qin
Pengyi Zhang
Leilei Gan
Xi Li
76
706
0
22 Dec 2020
HS-ResNet: Hierarchical-Split Block on Convolutional Neural Network
HS-ResNet: Hierarchical-Split Block on Convolutional Neural Network
P. Yuan
Shufei Lin
Cheng Cui
Yuning Du
Ruoyu Guo
Dongliang He
Errui Ding
Shumin Han
41
43
0
15 Oct 2020
Rotate to Attend: Convolutional Triplet Attention Module
Rotate to Attend: Convolutional Triplet Attention Module
Diganta Misra
Trikay Nalamada
Ajay Uppili Arasanipalai
Qibin Hou
ViT
3DPC
49
596
0
06 Oct 2020
Pyramidal Convolution: Rethinking Convolutional Neural Networks for
  Visual Recognition
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition
Ionut Cosmin Duta
Li Liu
Fan Zhu
Ling Shao
61
198
0
20 Jun 2020
Learning Spatial Fusion for Single-Shot Object Detection
Learning Spatial Fusion for Single-Shot Object Detection
Songtao Liu
Di Huang
Yunhong Wang
ObjD
60
590
0
21 Nov 2019
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural
  Networks
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
Qilong Wang
Banggu Wu
Peng Fei Zhu
P. Li
W. Zuo
Q. Hu
131
4,018
0
08 Oct 2019
Squeeze-and-Attention Networks for Semantic Segmentation
Squeeze-and-Attention Networks for Semantic Segmentation
Zilong Zhong
Z. Q. Lin
Rene Bidart
Xiaodan Hu
Ibrahim Ben Daya
Zhifeng Li
Wei-Shi Zheng
Jonathan Li
A. Wong
SSeg
61
236
0
08 Sep 2019
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
Yue Cao
Jiarui Xu
Stephen Lin
Fangyun Wei
Han Hu
ISeg
78
1,571
0
25 Apr 2019
Attention Augmented Convolutional Networks
Attention Augmented Convolutional Networks
Irwan Bello
Barret Zoph
Ashish Vaswani
Jonathon Shlens
Quoc V. Le
132
1,014
0
22 Apr 2019
Res2Net: A New Multi-scale Backbone Architecture
Res2Net: A New Multi-scale Backbone Architecture
Shanghua Gao
Ming-Ming Cheng
Kai Zhao
Xinyu Zhang
Ming-Hsuan Yang
Philip Torr
107
2,391
0
02 Apr 2019
SRM : A Style-based Recalibration Module for Convolutional Neural
  Networks
SRM : A Style-based Recalibration Module for Convolutional Neural Networks
HyunJae Lee
Hyo-Eun Kim
Hyeonseob Nam
47
225
0
26 Mar 2019
Selective Kernel Networks
Selective Kernel Networks
Xiang Li
Wenhai Wang
Xiaolin Hu
Jian Yang
93
2,032
0
15 Mar 2019
Attention Branch Network: Learning of Attention Mechanism for Visual
  Explanation
Attention Branch Network: Learning of Attention Mechanism for Visual Explanation
Hiroshi Fukui
Tsubasa Hirakawa
Takayoshi Yamashita
H. Fujiyoshi
XAI
FAtt
64
408
0
25 Dec 2018
Global Second-order Pooling Convolutional Networks
Global Second-order Pooling Convolutional Networks
Zilin Gao
Jiangtao Xie
Qilong Wang
P. Li
63
334
0
29 Nov 2018
$A^2$-Nets: Double Attention Networks
A2A^2A2-Nets: Double Attention Networks
Yunpeng Chen
Yannis Kalantidis
Jianshu Li
Shuicheng Yan
Jiashi Feng
77
532
0
27 Oct 2018
Dual Attention Network for Scene Segmentation
Dual Attention Network for Scene Segmentation
J. Fu
Qingbin Liu
Haijie Tian
Yong Li
Yongjun Bao
Zhiwei Fang
Hanqing Lu
SSeg
314
5,107
0
09 Sep 2018
CBAM: Convolutional Block Attention Module
CBAM: Convolutional Block Attention Module
Sanghyun Woo
Jongchan Park
Joon-Young Lee
In So Kweon
222
16,541
0
17 Jul 2018
BAM: Bottleneck Attention Module
BAM: Bottleneck Attention Module
Jongchan Park
Sanghyun Woo
Joon-Young Lee
In So Kweon
70
1,040
0
17 Jul 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image
  Segmentation
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
430
13,121
0
07 Feb 2018
Non-local Neural Networks
Non-local Neural Networks
Xinyu Wang
Ross B. Girshick
Abhinav Gupta
Kaiming He
OffRL
286
8,905
0
21 Nov 2017
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
424
26,481
0
05 Sep 2017
SSH: Single Stage Headless Face Detector
SSH: Single Stage Headless Face Detector
Mahyar Najibi
Pouya Samangouei
Rama Chellappa
L. Davis
CVBM
PICV
72
422
0
14 Aug 2017
Focal Loss for Dense Object Detection
Focal Loss for Dense Object Detection
Nayeon Lee
Priya Goyal
Ross B. Girshick
Kaiming He
Piotr Dollár
ObjD
112
2,996
0
07 Aug 2017
Residual Attention Network for Image Classification
Residual Attention Network for Image Classification
Fei Wang
Mengqing Jiang
Chao Qian
Shuo Yang
Cheng Li
Honggang Zhang
Xiaogang Wang
Xiaoou Tang
111
3,310
0
23 Apr 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
350
27,181
0
20 Mar 2017
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
463
22,102
0
09 Dec 2016
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOS
SSeg
658
12,007
0
04 Dec 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,878
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
878
27,358
0
02 Dec 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
499
62,270
0
04 Jun 2015
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
413
43,638
0
01 May 2014
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