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BAM: Bottleneck Attention Module

BAM: Bottleneck Attention Module

17 July 2018
Jongchan Park
Sanghyun Woo
Joon-Young Lee
In So Kweon
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Papers citing "BAM: Bottleneck Attention Module"

35 / 85 papers shown
Title
Modal-Adaptive Gated Recoding Network for RGB-D Salient Object Detection
Modal-Adaptive Gated Recoding Network for RGB-D Salient Object Detection
Jinchao Zhu
Xiaoyu Zhang
Xian Fang
Feng Dong
Yu Qiu
13
3
0
13 Aug 2021
Challenges for machine learning in clinical translation of big data
  imaging studies
Challenges for machine learning in clinical translation of big data imaging studies
Nicola K. Dinsdale
Emma Bluemke
V. Sundaresan
M. Jenkinson
Stephen Smith
Ana I. L. Namburete
AI4CE
40
41
0
07 Jul 2021
Polarized Self-Attention: Towards High-quality Pixel-wise Regression
Polarized Self-Attention: Towards High-quality Pixel-wise Regression
Huajun Liu
Fuqiang Liu
Xinyi Fan
Dong Huang
79
211
0
02 Jul 2021
ShuffleBlock: Shuffle to Regularize Deep Convolutional Neural Networks
ShuffleBlock: Shuffle to Regularize Deep Convolutional Neural Networks
Sudhakar Kumawat
Gagan Kanojia
Shanmuganathan Raman
21
5
0
17 Jun 2021
EdgeConv with Attention Module for Monocular Depth Estimation
EdgeConv with Attention Module for Monocular Depth Estimation
Minhyeok Lee
Sangwon Hwang
Chaewon Park
Sangyoun Lee
MDE
3DPC
13
17
0
16 Jun 2021
EPSANet: An Efficient Pyramid Squeeze Attention Block on Convolutional
  Neural Network
EPSANet: An Efficient Pyramid Squeeze Attention Block on Convolutional Neural Network
Hu Zhang
Keke Zu
Jian Lu
Yuru Zou
Deyu Meng
SSeg
16
204
0
30 May 2021
Spatio-Temporal Matching for Siamese Visual Tracking
Spatio-Temporal Matching for Siamese Visual Tracking
Jinpu Zhang
Yuehuang Wang
21
11
0
06 May 2021
BiCnet-TKS: Learning Efficient Spatial-Temporal Representation for Video
  Person Re-Identification
BiCnet-TKS: Learning Efficient Spatial-Temporal Representation for Video Person Re-Identification
Rui Hou
Hong Chang
Bingpeng Ma
Rui Huang
Shiguang Shan
27
85
0
30 Apr 2021
ConTNet: Why not use convolution and transformer at the same time?
ConTNet: Why not use convolution and transformer at the same time?
Haotian Yan
Zhe Li
Weijian Li
Changhu Wang
Ming Wu
Chuang Zhang
ViT
20
76
0
27 Apr 2021
Attention in Attention Network for Image Super-Resolution
Attention in Attention Network for Image Super-Resolution
Haoyu Chen
Jinjin Gu
Zhi-Li Zhang
SupR
31
67
0
19 Apr 2021
PSCC-Net: Progressive Spatio-Channel Correlation Network for Image
  Manipulation Detection and Localization
PSCC-Net: Progressive Spatio-Channel Correlation Network for Image Manipulation Detection and Localization
Xiaohong Liu
Yao-Kai Liu
Jun Chen
Xiaoming Liu
24
187
0
19 Mar 2021
Coordinate Attention for Efficient Mobile Network Design
Coordinate Attention for Efficient Mobile Network Design
Qibin Hou
Daquan Zhou
Jiashi Feng
27
2,944
0
04 Mar 2021
LambdaNetworks: Modeling Long-Range Interactions Without Attention
LambdaNetworks: Modeling Long-Range Interactions Without Attention
Irwan Bello
281
179
0
17 Feb 2021
ORDNet: Capturing Omni-Range Dependencies for Scene Parsing
ORDNet: Capturing Omni-Range Dependencies for Scene Parsing
Shaofei Huang
Si Liu
Tianrui Hui
Jizhong Han
Bo-wen Li
Jiashi Feng
Shuicheng Yan
3DPC
OffRL
37
15
0
11 Jan 2021
FcaNet: Frequency Channel Attention Networks
FcaNet: Frequency Channel Attention Networks
Zequn Qin
Pengyi Zhang
Fei Wu
Xi Li
31
678
0
22 Dec 2020
Robust Re-Identification by Multiple Views Knowledge Distillation
Robust Re-Identification by Multiple Views Knowledge Distillation
Angelo Porrello
Luca Bergamini
Simone Calderara
32
65
0
08 Jul 2020
Multi-Task Learning via Co-Attentive Sharing for Pedestrian Attribute
  Recognition
Multi-Task Learning via Co-Attentive Sharing for Pedestrian Attribute Recognition
Haitian Zeng
H. Ai
Zijie Zhuang
Long Chen
19
33
0
07 Apr 2020
Knowing What, Where and When to Look: Efficient Video Action Modeling
  with Attention
Knowing What, Where and When to Look: Efficient Video Action Modeling with Attention
Juan-Manuel Perez-Rua
Brais Martínez
Xiatian Zhu
Antoine Toisoul
Victor Escorcia
Tao Xiang
48
19
0
02 Apr 2020
GPCA: A Probabilistic Framework for Gaussian Process Embedded Channel
  Attention
GPCA: A Probabilistic Framework for Gaussian Process Embedded Channel Attention
Jiyang Xie
Dongliang Chang
Zhanyu Ma
Guoqiang Zhang
Jun Guo
26
25
0
10 Mar 2020
Attentive Group Equivariant Convolutional Networks
Attentive Group Equivariant Convolutional Networks
David W. Romero
Erik J. Bekkers
Jakub M. Tomczak
Mark Hoogendoorn
22
90
0
07 Feb 2020
Attention Deep Model with Multi-Scale Deep Supervision for Person
  Re-Identification
Attention Deep Model with Multi-Scale Deep Supervision for Person Re-Identification
Di Wu
Chao Wang
Yong Wu
De-Shuang Huang
21
53
0
23 Nov 2019
Cross Attention Network for Few-shot Classification
Cross Attention Network for Few-shot Classification
Rui Hou
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
204
631
0
17 Oct 2019
Gated Channel Transformation for Visual Recognition
Gated Channel Transformation for Visual Recognition
Zongxin Yang
Linchao Zhu
Yu Wu
Yezhou Yang
ViT
22
203
0
25 Sep 2019
Linear Context Transform Block
Linear Context Transform Block
D. Ruan
Jun Wen
Nenggan Zheng
Min Zheng
ViT
19
22
0
06 Sep 2019
UPI-Net: Semantic Contour Detection in Placental Ultrasound
UPI-Net: Semantic Contour Detection in Placental Ultrasound
Huan Qi
S. Collins
J. A. Noble
24
7
0
31 Aug 2019
HA-CCN: Hierarchical Attention-based Crowd Counting Network
HA-CCN: Hierarchical Attention-based Crowd Counting Network
Vishwanath A. Sindagi
Vishal M. Patel
20
187
0
24 Jul 2019
Compact Global Descriptor for Neural Networks
Xiangyu He
Ke Cheng
Qiang Chen
Qinghao Hu
Peisong Wang
Jian Cheng
31
8
0
23 Jul 2019
Improved Reinforcement Learning through Imitation Learning Pretraining
  Towards Image-based Autonomous Driving
Improved Reinforcement Learning through Imitation Learning Pretraining Towards Image-based Autonomous Driving
Tianqi Wang
D. Chang
25
18
0
16 Jul 2019
Spatial Group-wise Enhance: Improving Semantic Feature Learning in
  Convolutional Networks
Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks
Xiang Li
Xiaolin Hu
Jian Yang
24
193
0
23 May 2019
Attention Augmented Convolutional Networks
Attention Augmented Convolutional Networks
Irwan Bello
Barret Zoph
Ashish Vaswani
Jonathon Shlens
Quoc V. Le
46
999
0
22 Apr 2019
Selective Kernel Networks
Selective Kernel Networks
Xiang Li
Wenhai Wang
Xiaolin Hu
Jian Yang
25
2,001
0
15 Mar 2019
Deep Discriminative Representation Learning with Attention Map for Scene
  Classification
Deep Discriminative Representation Learning with Attention Map for Scene Classification
Jun Yu Li
Daoyu Lin
Yang Wang
Guangluan Xu
C. Ding
28
81
0
21 Feb 2019
CBAM: Convolutional Block Attention Module
CBAM: Convolutional Block Attention Module
Sanghyun Woo
Jongchan Park
Joon-Young Lee
In So Kweon
100
16,150
0
17 Jul 2018
AOGNets: Compositional Grammatical Architectures for Deep Learning
AOGNets: Compositional Grammatical Architectures for Deep Learning
Xilai Li
Xi Song
Tianfu Wu
37
25
0
15 Nov 2017
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
69
26,038
0
05 Sep 2017
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