ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1807.06521
  4. Cited By
CBAM: Convolutional Block Attention Module

CBAM: Convolutional Block Attention Module

17 July 2018
Sanghyun Woo
Jongchan Park
Joon-Young Lee
In So Kweon
ArXivPDFHTML

Papers citing "CBAM: Convolutional Block Attention Module"

46 / 96 papers shown
Title
ModeTv2: GPU-accelerated Motion Decomposition Transformer for Pairwise Optimization in Medical Image Registration
ModeTv2: GPU-accelerated Motion Decomposition Transformer for Pairwise Optimization in Medical Image Registration
Hai-qun Wang
Zhuoyuan Wang
Dong Ni
Yi Wang
ViT
MedIm
73
6
0
25 Mar 2024
A Lightweight Attention-based Deep Network via Multi-Scale Feature Fusion for Multi-View Facial Expression Recognition
A Lightweight Attention-based Deep Network via Multi-Scale Feature Fusion for Multi-View Facial Expression Recognition
Ali Ezati
Mohammadreza Dezyani
Rajib Rana
Roozbeh Rajabi
Ahmad Ayatollahi
CVBM
63
1
0
21 Mar 2024
Relational Representation Learning Network for Cross-Spectral Image Patch Matching
Relational Representation Learning Network for Cross-Spectral Image Patch Matching
Chuan Yu
Yunpeng Liu
Jinmiao Zhao
Dou Quan
Zelin Shi
Xiangyu Yue
ViT
60
0
0
18 Mar 2024
MARVIS: Motion & Geometry Aware Real and Virtual Image Segmentation
MARVIS: Motion & Geometry Aware Real and Virtual Image Segmentation
Jiayi Wu
Xiao-sheng Lin
S. Negahdaripour
Cornelia Fermuller
Yiannis Aloimonos
132
3
0
14 Mar 2024
Attention-guided Feature Distillation for Semantic Segmentation
Attention-guided Feature Distillation for Semantic Segmentation
Amir M. Mansourian
Arya Jalali
Rozhan Ahmadi
S. Kasaei
129
0
0
08 Mar 2024
ASCNet: Asymmetric Sampling Correction Network for Infrared Image Destriping
ASCNet: Asymmetric Sampling Correction Network for Infrared Image Destriping
Shuai Yuan
Hanlin Qin
Xiang Yan
Shiqi Yang
Shuowen Yang
Naveed Akhtar
Huixin Zhou
96
6
0
28 Jan 2024
DeepThalamus: A novel deep learning method for automatic segmentation of brain thalamic nuclei from multimodal ultra-high resolution MRI
DeepThalamus: A novel deep learning method for automatic segmentation of brain thalamic nuclei from multimodal ultra-high resolution MRI
Marina Ruiz-Perez
Sergio Morell-Ortega
Marien Gadea
Roberto Vivó Hernando
Gregorio Rubio
F. Aparici-Robles
M. Iglesia-Vayá
T. Tourdias
Pierrick Coupé
J. V. Manjón
58
0
0
15 Jan 2024
DataDAM: Efficient Dataset Distillation with Attention Matching
DataDAM: Efficient Dataset Distillation with Attention Matching
A. Sajedi
Samir Khaki
Ehsan Amjadian
Lucy Z. Liu
Y. Lawryshyn
Konstantinos N. Plataniotis
DD
98
64
0
29 Sep 2023
Treating Motion as Option with Output Selection for Unsupervised Video Object Segmentation
Treating Motion as Option with Output Selection for Unsupervised Video Object Segmentation
Suhwan Cho
Minhyeok Lee
Jungho Lee
Myeongah Cho
Seungwook Park
Jaeyeob Kim
Hyunsung Jang
Sangyoun Lee
VOS
73
2
0
26 Sep 2023
Transferring Foundation Models for Generalizable Robotic Manipulation
Transferring Foundation Models for Generalizable Robotic Manipulation
Jiange Yang
Wenhui Tan
Chuhao Jin
Keling Yao
Bei Liu
Jianlong Fu
Ruihua Song
Gangshan Wu
Limin Wang
LM&Ro
88
7
0
09 Jun 2023
Information Bottleneck Approach to Spatial Attention Learning
Information Bottleneck Approach to Spatial Attention Learning
Qiuxia Lai
Yu Li
Ailing Zeng
Minhao Liu
Hanqiu Sun
Qiang Xu
43
9
0
07 Aug 2021
Reflective-Net: Learning from Explanations
Reflective-Net: Learning from Explanations
Johannes Schneider
Michalis Vlachos
FAtt
OffRL
LRM
74
18
0
27 Nov 2020
SlimConv: Reducing Channel Redundancy in Convolutional Neural Networks
  by Weights Flipping
SlimConv: Reducing Channel Redundancy in Convolutional Neural Networks by Weights Flipping
Jiaxiong Qiu
Cai Chen
Shuaicheng Liu
B. Zeng
65
40
0
16 Mar 2020
Crowd Counting via Hierarchical Scale Recalibration Network
Crowd Counting via Hierarchical Scale Recalibration Network
Zhikang Zou
Yifan Liu
Shuangjie Xu
Wei Wei
S. Wen
Pan Zhou
54
22
0
07 Mar 2020
BAM: Bottleneck Attention Module
BAM: Bottleneck Attention Module
Jongchan Park
Sanghyun Woo
Joon-Young Lee
In So Kweon
56
1,035
0
17 Jul 2018
StairNet: Top-Down Semantic Aggregation for Accurate One Shot Detection
StairNet: Top-Down Semantic Aggregation for Accurate One Shot Detection
Sanghyun Woo
Soonmin Hwang
In So Kweon
ObjD
31
87
0
18 Sep 2017
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
341
26,241
0
05 Sep 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
101
3,299
0
23 Apr 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
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
3DH
1.1K
20,747
0
17 Apr 2017
An Implementation of Faster RCNN with Study for Region Sampling
An Implementation of Faster RCNN with Study for Region Sampling
Xinlei Chen
Abhinav Gupta
ObjD
27
158
0
07 Feb 2017
Paying More Attention to Attention: Improving the Performance of
  Convolutional Neural Networks via Attention Transfer
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer
Sergey Zagoruyko
N. Komodakis
101
2,561
0
12 Dec 2016
SCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks
  for Image Captioning
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
52
1,654
0
17 Nov 2016
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
435
10,281
0
16 Nov 2016
Deep Pyramidal Residual Networks
Deep Pyramidal Residual Networks
Dongyoon Han
Jiwhan Kim
Junmo Kim
77
690
0
10 Oct 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
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
216
19,796
0
07 Oct 2016
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
854
14,493
0
07 Oct 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
631
36,599
0
25 Aug 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
268
7,951
0
23 May 2016
Deep Networks with Stochastic Depth
Deep Networks with Stochastic Depth
Gao Huang
Yu Sun
Zhuang Liu
Daniel Sedra
Kilian Q. Weinberger
151
2,344
0
30 Mar 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
288
10,149
0
16 Mar 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on
  Learning
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
299
14,196
0
23 Feb 2016
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSL
SSeg
FAtt
170
9,280
0
14 Dec 2015
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and
  Recurrent Neural Networks
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks
Sean Bell
C. L. Zitnick
Kavita Bala
Ross B. Girshick
ObjD
66
1,206
0
14 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.4K
192,638
0
10 Dec 2015
SSD: Single Shot MultiBox Detector
SSD: Single Shot MultiBox Detector
Wen Liu
Dragomir Anguelov
D. Erhan
Christian Szegedy
Scott E. Reed
Cheng-Yang Fu
Alexander C. Berg
ObjD
BDL
146
29,646
0
08 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
497
27,231
0
02 Dec 2015
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
264
7,361
0
05 Jun 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
412
61,900
0
04 Jun 2015
DRAW: A Recurrent Neural Network For Image Generation
DRAW: A Recurrent Neural Network For Image Generation
Karol Gregor
Ivo Danihelka
Alex Graves
Danilo Jimenez Rezende
Daan Wierstra
GAN
DRL
147
1,959
0
16 Feb 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
286
10,034
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
333
43,511
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
FAtt
MDE
954
99,991
0
04 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
390
27,205
0
01 Sep 2014
Recurrent Models of Visual Attention
Recurrent Models of Visual Attention
Volodymyr Mnih
N. Heess
Alex Graves
Koray Kavukcuoglu
VLM
110
3,645
0
24 Jun 2014
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
272
43,290
0
01 May 2014
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
329
15,825
0
12 Nov 2013
Previous
12