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Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
v1v2v3v4 (latest)

Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

7 October 2016
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
    FAtt
ArXiv (abs)PDFHTMLGithub (1561★)

Papers citing "Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization"

50 / 5,279 papers shown
Title
Self-Supervised Feature Learning by Learning to Spot Artifacts
Self-Supervised Feature Learning by Learning to Spot Artifacts
Simon Jenni
Paolo Favaro
SSL
205
128
0
13 Jun 2018
Understanding Patch-Based Learning by Explaining Predictions
Understanding Patch-Based Learning by Explaining Predictions
Christopher J. Anders
G. Montavon
Wojciech Samek
K. Müller
UQCVFAtt
62
6
0
11 Jun 2018
Localizing and Quantifying Damage in Social Media Images
Localizing and Quantifying Damage in Social Media Images
Xukun Li
Xukun Li
Doina Caragea
Muhammad Imran
56
57
0
09 Jun 2018
Quantitative Phase Imaging and Artificial Intelligence: A Review
Quantitative Phase Imaging and Artificial Intelligence: A Review
YoungJu Jo
Hyungjoon Cho
Sang Yun Lee
Gunho Choi
Geon Kim
Hyun-Seok Min
Yongkeun Park
100
155
0
06 Jun 2018
Graph Saliency Maps through Spectral Convolutional Networks: Application
  to Sex Classification with Brain Connectivity
Graph Saliency Maps through Spectral Convolutional Networks: Application to Sex Classification with Brain Connectivity
Salim Arslan
S. Ktena
Ben Glocker
Daniel Rueckert
GNN
72
53
0
05 Jun 2018
Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations
Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations
Guannan Zhao
Bo Zhou
Kaiwen Wang
Rui Jiang
Min Xu
FAttMedIm
71
48
0
31 May 2018
Explaining Explanations: An Overview of Interpretability of Machine
  Learning
Explaining Explanations: An Overview of Interpretability of Machine Learning
Leilani H. Gilpin
David Bau
Ben Z. Yuan
Ayesha Bajwa
Michael A. Specter
Lalana Kagal
XAI
121
1,868
0
31 May 2018
Rice Classification Using Spatio-Spectral Deep Convolutional Neural
  Network
Rice Classification Using Spatio-Spectral Deep Convolutional Neural Network
I. Chatnuntawech
Kittipong Tantisantisom
P. Khanchaitit
T. Boonkoom
B. Bilgiç
Ekapol Chuangsuwanich
32
26
0
29 May 2018
Excitation Dropout: Encouraging Plasticity in Deep Neural Networks
Excitation Dropout: Encouraging Plasticity in Deep Neural Networks
Andrea Zunino
Sarah Adel Bargal
Pietro Morerio
Jianming Zhang
Stan Sclaroff
Vittorio Murino
38
25
0
23 May 2018
Enriched Long-term Recurrent Convolutional Network for Facial
  Micro-Expression Recognition
Enriched Long-term Recurrent Convolutional Network for Facial Micro-Expression Recognition
Huai-Qian Khor
John See
Raphaël C.-W. Phan
Weiyao Lin
50
169
0
22 May 2018
Classifier-agnostic saliency map extraction
Classifier-agnostic saliency map extraction
Konrad Zolna
Krzysztof J. Geras
Kyunghyun Cho
73
29
0
21 May 2018
Object Localization with a Weakly Supervised CapsNet
Object Localization with a Weakly Supervised CapsNet
Weitang Liu
Emad Barsoum
John Douglas Owens
13
3
0
20 May 2018
Unsupervised Learning of Neural Networks to Explain Neural Networks
Unsupervised Learning of Neural Networks to Explain Neural Networks
Quanshi Zhang
Yu Yang
Yuchen Liu
Ying Nian Wu
Song-Chun Zhu
FAttSSL
59
27
0
18 May 2018
A Theoretical Explanation for Perplexing Behaviors of
  Backpropagation-based Visualizations
A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations
Weili Nie
Yang Zhang
Ankit B. Patel
FAtt
169
151
0
18 May 2018
Exploring object-centric and scene-centric CNN features and their
  complementarity for human rights violations recognition in images
Exploring object-centric and scene-centric CNN features and their complementarity for human rights violations recognition in images
Grigorios Kalliatakis
Shoaib Ehsan
A. Leonardis
Klaus McDonald-Maier
65
13
0
12 May 2018
Towards Interpretable Face Recognition
Towards Interpretable Face Recognition
Bangjie Yin
Luan Tran
Haoxiang Li
Xiaohui Shen
Xiaoming Liu
CVBM
82
83
0
02 May 2018
Pay Attention to Virality: understanding popularity of social media
  videos with the attention mechanism
Pay Attention to Virality: understanding popularity of social media videos with the attention mechanism
Adam Bielski
Tomasz Trzciñski
53
13
0
26 Apr 2018
Weakly-Supervised Learning-Based Feature Localization in Confocal Laser
  Endomicroscopy Glioma Images
Weakly-Supervised Learning-Based Feature Localization in Confocal Laser Endomicroscopy Glioma Images
Mohammadhassan Izadyyazdanabadi
E. Belykh
C. Cavallo
Xiaochun Zhao
S. Gandhi
L. Moreira
J. Eschbacher
P. Nakaji
M. Preul
Yezhou Yang
92
35
0
25 Apr 2018
Understanding Regularization to Visualize Convolutional Neural Networks
Understanding Regularization to Visualize Convolutional Neural Networks
Maximilian Baust
Florian Ludwig
Christian Rupprecht
Matthias Kohl
S. Braunewell
FAtt
54
4
0
20 Apr 2018
Learning Deep Sketch Abstraction
Learning Deep Sketch Abstraction
U. Muhammad
Yongxin Yang
Yi-Zhe Song
Tao Xiang
Timothy M. Hospedales
47
96
0
13 Apr 2018
Finding beans in burgers: Deep semantic-visual embedding with
  localization
Finding beans in burgers: Deep semantic-visual embedding with localization
Martin Engilberge
Louis Chevallier
P. Pérez
Matthieu Cord
81
96
0
05 Apr 2018
Entanglement-guided architectures of machine learning by quantum tensor
  network
Entanglement-guided architectures of machine learning by quantum tensor network
Yuhan Liu
Xiao Zhang
M. Lewenstein
Shi-Ju Ran
76
32
0
24 Mar 2018
Weakly Supervised Medical Diagnosis and Localization from Multiple
  Resolutions
Weakly Supervised Medical Diagnosis and Localization from Multiple Resolutions
L. Yao
Jordan Prosky
Eric Poblenz
Ben Covington
Kevin Lyman
60
122
0
21 Mar 2018
Deep Structure Inference Network for Facial Action Unit Recognition
Deep Structure Inference Network for Facial Action Unit Recognition
C. Corneanu
Meysam Madadi
Sergio Escalera
CVBM
72
128
0
15 Mar 2018
Transparency by Design: Closing the Gap Between Performance and
  Interpretability in Visual Reasoning
Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning
David Mascharka
Philip Tran
Ryan Soklaski
Arjun Majumdar
123
207
0
14 Mar 2018
Visual Explanations From Deep 3D Convolutional Neural Networks for
  Alzheimer's Disease Classification
Visual Explanations From Deep 3D Convolutional Neural Networks for Alzheimer's Disease Classification
Chengliang Yang
Anand Rangarajan
Sanjay Ranka
FAtt
63
142
0
07 Mar 2018
Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray
  Classification
Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification
Ivo M. Baltruschat
H. Nickisch
M. Grass
T. Knopp
A. Saalbach
72
384
0
06 Mar 2018
Tell Me Where to Look: Guided Attention Inference Network
Tell Me Where to Look: Guided Attention Inference Network
Kunpeng Li
Ziyan Wu
Kuan-Chuan Peng
Jan Ernst
Y. Fu
133
532
0
27 Feb 2018
ReHAR: Robust and Efficient Human Activity Recognition
ReHAR: Robust and Efficient Human Activity Recognition
Xin Li
Mooi Choo Choo Chuah
HAI
32
32
0
27 Feb 2018
Explanations based on the Missing: Towards Contrastive Explanations with
  Pertinent Negatives
Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives
Amit Dhurandhar
Pin-Yu Chen
Ronny Luss
Chun-Chen Tu
Pai-Shun Ting
Karthikeyan Shanmugam
Payel Das
FAtt
138
592
0
21 Feb 2018
Machine Learning Methods for Data Association in Multi-Object Tracking
Machine Learning Methods for Data Association in Multi-Object Tracking
Patrick Emami
P. Pardalos
L. Elefteriadou
Sanjay Ranka
VOT
111
40
0
19 Feb 2018
Exact and Consistent Interpretation for Piecewise Linear Neural
  Networks: A Closed Form Solution
Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution
Lingyang Chu
X. Hu
Juhua Hu
Lanjun Wang
J. Pei
62
100
0
17 Feb 2018
Multimodal Explanations: Justifying Decisions and Pointing to the
  Evidence
Multimodal Explanations: Justifying Decisions and Pointing to the Evidence
Dong Huk Park
Lisa Anne Hendricks
Zeynep Akata
Anna Rohrbach
Bernt Schiele
Trevor Darrell
Marcus Rohrbach
87
424
0
15 Feb 2018
Influence-Directed Explanations for Deep Convolutional Networks
Influence-Directed Explanations for Deep Convolutional Networks
Klas Leino
S. Sen
Anupam Datta
Matt Fredrikson
Linyi Li
TDIFAtt
113
75
0
11 Feb 2018
Stochastic Deconvolutional Neural Network Ensemble Training on
  Generative Pseudo-Adversarial Networks
Stochastic Deconvolutional Neural Network Ensemble Training on Generative Pseudo-Adversarial Networks
A. Chaplygin
Joshua Chacksfield
GAN
33
0
0
07 Feb 2018
Granger-causal Attentive Mixtures of Experts: Learning Important
  Features with Neural Networks
Granger-causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks
Patrick Schwab
Djordje Miladinovic
W. Karlen
CML
99
57
0
06 Feb 2018
A Survey Of Methods For Explaining Black Box Models
A Survey Of Methods For Explaining Black Box Models
Riccardo Guidotti
A. Monreale
Salvatore Ruggieri
Franco Turini
D. Pedreschi
F. Giannotti
XAI
179
3,996
0
06 Feb 2018
A Method for Restoring the Training Set Distribution in an Image
  Classifier
A Method for Restoring the Training Set Distribution in an Image Classifier
A. Chaplygin
Joshua Chacksfield
24
1
0
05 Feb 2018
Explaining First Impressions: Modeling, Recognizing, and Explaining
  Apparent Personality from Videos
Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos
Hugo Jair Escalante
Heysem Kaya
A. A. Salah
Sergio Escalera
Yağmur Güçlütürk
...
Furkan Gürpinar
Achmadnoer Sukma Wicaksana
Cynthia C. S. Liem
Marcel van Gerven
R. Lier
64
61
0
02 Feb 2018
How do Humans Understand Explanations from Machine Learning Systems? An
  Evaluation of the Human-Interpretability of Explanation
How do Humans Understand Explanations from Machine Learning Systems? An Evaluation of the Human-Interpretability of Explanation
Menaka Narayanan
Emily Chen
Jeffrey He
Been Kim
S. Gershman
Finale Doshi-Velez
FAttXAI
110
243
0
02 Feb 2018
Visual Interpretability for Deep Learning: a Survey
Visual Interpretability for Deep Learning: a Survey
Quanshi Zhang
Song-Chun Zhu
FaMLHAI
179
822
0
02 Feb 2018
Causal Learning and Explanation of Deep Neural Networks via Autoencoded
  Activations
Causal Learning and Explanation of Deep Neural Networks via Autoencoded Activations
M. Harradon
Jeff Druce
Brian E. Ruttenberg
BDLCML
53
82
0
02 Feb 2018
Interpreting CNNs via Decision Trees
Interpreting CNNs via Decision Trees
Quanshi Zhang
Yu Yang
Ying Nian Wu
Song-Chun Zhu
FAtt
88
323
0
01 Feb 2018
Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation:
  the Benefit of Target Expectation Maximization
Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: the Benefit of Target Expectation Maximization
Guoliang Kang
Liang Zheng
Yan Yan
Yi Yang
OOD
103
122
0
30 Jan 2018
Training Set Debugging Using Trusted Items
Training Set Debugging Using Trusted Items
Xuezhou Zhang
Xiaojin Zhu
Stephen J. Wright
61
75
0
24 Jan 2018
Visual Analytics in Deep Learning: An Interrogative Survey for the Next
  Frontiers
Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers
Fred Hohman
Minsuk Kahng
Robert S. Pienta
Duen Horng Chau
OODHAI
101
541
0
21 Jan 2018
Re-ID done right: towards good practices for person re-identification
Re-ID done right: towards good practices for person re-identification
Jon Almazán
B. Gajic
Naila Murray
Diane Larlus
3DPC
106
106
0
16 Jan 2018
Efficient Image Evidence Analysis of CNN Classification Results
Efficient Image Evidence Analysis of CNN Classification Results
Keyang Zhou
Bernhard Kainz
AAMLFAtt
48
4
0
05 Jan 2018
Adversarial Examples: Attacks and Defenses for Deep Learning
Adversarial Examples: Attacks and Defenses for Deep Learning
Xiaoyong Yuan
Pan He
Qile Zhu
Xiaolin Li
SILMAAML
128
1,627
0
19 Dec 2017
Visual Explanation by Interpretation: Improving Visual Feedback
  Capabilities of Deep Neural Networks
Visual Explanation by Interpretation: Improving Visual Feedback Capabilities of Deep Neural Networks
José Oramas
Kaili Wang
Tinne Tuytelaars
XAIFAtt
47
62
0
18 Dec 2017
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