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Visual Attention Methods in Deep Learning: An In-Depth Survey

Visual Attention Methods in Deep Learning: An In-Depth Survey

16 April 2022
Mohammed Hassanin
Saeed Anwar
Ibrahim Radwan
F. Khan
Ajmal Saeed Mian
ArXivPDFHTML

Papers citing "Visual Attention Methods in Deep Learning: An In-Depth Survey"

16 / 16 papers shown
Title
A recurrent vision transformer shows signatures of primate visual attention
A recurrent vision transformer shows signatures of primate visual attention
Jonathan Morgan
Badr Albanna
James P. Herman
34
0
0
16 Feb 2025
FactorizePhys: Matrix Factorization for Multidimensional Attention in
  Remote Physiological Sensing
FactorizePhys: Matrix Factorization for Multidimensional Attention in Remote Physiological Sensing
Jitesh Joshi
Sos S. Agaian
Youngjun Cho
AI4TS
28
1
0
03 Nov 2024
Learning Goal-Directed Object Pushing in Cluttered Scenes with Location-Based Attention
Learning Goal-Directed Object Pushing in Cluttered Scenes with Location-Based Attention
Nils Dengler
Juan Del Aguila Ferrandis
João Moura
S. Vijayakumar
Maren Bennewitz
59
0
0
26 Mar 2024
Reasoning-Enhanced Object-Centric Learning for Videos
Reasoning-Enhanced Object-Centric Learning for Videos
Jian Li
Pu Ren
Yang Liu
Hao-Lun Sun
OCL
LRM
33
2
0
22 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
29
0
0
18 Mar 2024
Seeing the random forest through the decision trees. Supporting learning
  health systems from histopathology with machine learning models: Challenges
  and opportunities
Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities
Ricardo Gonzalez
Ashirbani Saha
Clinton J.V. Campbell
Peyman Nejat
Cynthia Lokker
Andrew P. Norgan
28
12
0
06 Dec 2023
Centroid Transformers: Learning to Abstract with Attention
Centroid Transformers: Learning to Abstract with Attention
Lemeng Wu
Xingchao Liu
Qiang Liu
3DPC
56
27
0
17 Feb 2021
Transformers in Vision: A Survey
Transformers in Vision: A Survey
Salman Khan
Muzammal Naseer
Munawar Hayat
Syed Waqas Zamir
F. Khan
M. Shah
ViT
225
2,404
0
04 Jan 2021
Bayesian Attention Modules
Bayesian Attention Modules
Xinjie Fan
Shujian Zhang
Bo Chen
Mingyuan Zhou
107
59
0
20 Oct 2020
Cross Attention Network for Few-shot Classification
Cross Attention Network for Few-shot Classification
Rui Hou
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
202
627
0
17 Oct 2019
Learn To Pay Attention
Learn To Pay Attention
Saumya Jetley
Nicholas A. Lord
Namhoon Lee
Philip H. S. Torr
48
436
0
06 Apr 2018
Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image
  Captioning
Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning
Jiasen Lu
Caiming Xiong
Devi Parikh
R. Socher
83
1,440
0
06 Dec 2016
A Decomposable Attention Model for Natural Language Inference
A Decomposable Attention Model for Natural Language Inference
Ankur P. Parikh
Oscar Täckström
Dipanjan Das
Jakob Uszkoreit
190
1,358
0
06 Jun 2016
Multimodal Compact Bilinear Pooling for Visual Question Answering and
  Visual Grounding
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding
Akira Fukui
Dong Huk Park
Daylen Yang
Anna Rohrbach
Trevor Darrell
Marcus Rohrbach
144
1,458
0
06 Jun 2016
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
214
7,687
0
17 Aug 2015
Teaching Machines to Read and Comprehend
Teaching Machines to Read and Comprehend
Karl Moritz Hermann
Tomás Kociský
Edward Grefenstette
L. Espeholt
W. Kay
Mustafa Suleyman
Phil Blunsom
170
3,504
0
10 Jun 2015
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