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Achieving 3D Attention via Triplet Squeeze and Excitation Block

Achieving 3D Attention via Triplet Squeeze and Excitation Block

9 May 2025
Maan Alhazmi
Abdulrahman Altahhan
ArXiv (abs)PDFHTML

Papers citing "Achieving 3D Attention via Triplet Squeeze and Excitation Block"

28 / 28 papers shown
Title
EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition
EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition
Yassine El Boudouri
Amine Bohi
138
17
0
14 Jan 2025
A ConvNet for the 2020s
A ConvNet for the 2020s
Zhuang Liu
Hanzi Mao
Chaozheng Wu
Christoph Feichtenhofer
Trevor Darrell
Saining Xie
ViT
189
5,226
0
10 Jan 2022
Attention Mechanisms in Computer Vision: A Survey
Attention Mechanisms in Computer Vision: A Survey
Meng-Hao Guo
Tianhan Xu
Jiangjiang Liu
Zheng-Ning Liu
Peng-Tao Jiang
Tai-Jiang Mu
Song-Hai Zhang
Ralph Robert Martin
Ming-Ming Cheng
Shimin Hu
119
1,707
0
15 Nov 2021
Local Multi-Head Channel Self-Attention for Facial Expression
  Recognition
Local Multi-Head Channel Self-Attention for Facial Expression Recognition
Roberto Pecoraro
Valerio Basile
Viviana Bono
Sara Gallo
ViT
129
51
0
14 Nov 2021
Facial Emotion Recognition: State of the Art Performance on FER2013
Facial Emotion Recognition: State of the Art Performance on FER2013
Yousif Khaireddin
Z. Chen
3DH
50
156
0
08 May 2021
Facial expression and attributes recognition based on multi-task
  learning of lightweight neural networks
Facial expression and attributes recognition based on multi-task learning of lightweight neural networks
Andrey V. Savchenko
CVBM3DH
96
129
0
31 Mar 2021
Training data-efficient image transformers & distillation through
  attention
Training data-efficient image transformers & distillation through attention
Hugo Touvron
Matthieu Cord
Matthijs Douze
Francisco Massa
Alexandre Sablayrolles
Hervé Jégou
ViT
389
6,813
0
23 Dec 2020
FcaNet: Frequency Channel Attention Networks
FcaNet: Frequency Channel Attention Networks
Zequn Qin
Pengyi Zhang
Leilei Gan
Xi Li
98
712
0
22 Dec 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
684
41,563
0
22 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
ViT3DPC
74
602
0
06 Oct 2020
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
151
4,049
0
08 Oct 2019
Gated Channel Transformation for Visual Recognition
Gated Channel Transformation for Visual Recognition
Zongxin Yang
Linchao Zhu
Yu Wu
Yezhou Yang
ViT
56
211
0
25 Sep 2019
An Attentive Survey of Attention Models
An Attentive Survey of Attention Models
S. Chaudhari
Varun Mithal
Gungor Polatkan
R. Ramanath
162
663
0
05 Apr 2019
Deep-Emotion: Facial Expression Recognition Using Attentional
  Convolutional Network
Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network
Shervin Minaee
AmirAli Abdolrashidi
CVBM
121
567
0
04 Feb 2019
Global Second-order Pooling Convolutional Networks
Global Second-order Pooling Convolutional Networks
Zilin Gao
Jiangtao Xie
Qilong Wang
P. Li
82
336
0
29 Nov 2018
CBAM: Convolutional Block Attention Module
CBAM: Convolutional Block Attention Module
Sanghyun Woo
Jongchan Park
Joon-Young Lee
In So Kweon
227
16,641
0
17 Jul 2018
BAM: Bottleneck Attention Module
BAM: Bottleneck Attention Module
Jongchan Park
Sanghyun Woo
Joon-Young Lee
In So Kweon
83
1,043
0
17 Jul 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
218
19,353
0
13 Jan 2018
Non-local Neural Networks
Non-local Neural Networks
Xinyu Wang
Ross B. Girshick
Abhinav Gupta
Kaiming He
OffRL
312
8,922
0
21 Nov 2017
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
427
26,605
0
05 Sep 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
805
132,725
0
12 Jun 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN3DV
837
36,910
0
25 Aug 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.3K
194,641
0
10 Dec 2015
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
318
7,401
0
05 Jun 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual
  Attention
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Ke Xu
Jimmy Ba
Ryan Kiros
Kyunghyun Cho
Aaron Courville
Ruslan Salakhutdinov
R. Zemel
Yoshua Bengio
DiffM
352
10,091
0
10 Feb 2015
Going Deeper with Convolutions
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
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,575
0
04 Sep 2014
Recurrent Models of Visual Attention
Recurrent Models of Visual Attention
Volodymyr Mnih
N. Heess
Alex Graves
Koray Kavukcuoglu
VLM
169
3,658
0
24 Jun 2014
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