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

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
ArXivPDFHTML

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

50 / 2,144 papers shown
Title
Relation-Aware Global Attention for Person Re-identification
Relation-Aware Global Attention for Person Re-identification
Zhizheng Zhang
Cuiling Lan
Wenjun Zeng
Xin Jin
Zhibo Chen
3DPC
28
477
0
05 Apr 2019
Summit: Scaling Deep Learning Interpretability by Visualizing Activation
  and Attribution Summarizations
Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations
Fred Hohman
Haekyu Park
Caleb Robinson
Duen Horng Chau
FAtt
3DH
HAI
19
213
0
04 Apr 2019
Interpreting Adversarial Examples by Activation Promotion and
  Suppression
Interpreting Adversarial Examples by Activation Promotion and Suppression
Kaidi Xu
Sijia Liu
Gaoyuan Zhang
Mengshu Sun
Pu Zhao
Quanfu Fan
Chuang Gan
X. Lin
AAML
FAtt
24
43
0
03 Apr 2019
InfoMask: Masked Variational Latent Representation to Localize Chest
  Disease
InfoMask: Masked Variational Latent Representation to Localize Chest Disease
Saeid Asgari Taghanaki
Mohammad Havaei
T. Berthier
Francis Dutil
Lisa Di-Jorio
Ghassan Hamarneh
Yoshua Bengio
13
42
0
28 Mar 2019
Deep Co-Training for Semi-Supervised Image Segmentation
Deep Co-Training for Semi-Supervised Image Segmentation
Jizong Peng
Guillermo Estrada
M. Pedersoli
Christian Desrosiers
35
179
0
27 Mar 2019
Deep segmentation networks predict survival of non-small cell lung
  cancer
Deep segmentation networks predict survival of non-small cell lung cancer
Stephen Seung-Yeob Baek
Yusen He
B. Allen
John Buatti
Brian J. Smith
...
S. Seyedin
M. Gannon
Katherine R. Cabel
Yusung Kim
Xiaodong Wu
11
82
0
26 Mar 2019
Interpreting and Understanding Graph Convolutional Neural Network using
  Gradient-based Attribution Method
Interpreting and Understanding Graph Convolutional Neural Network using Gradient-based Attribution Method
Shangsheng Xie
Mingming Lu
FAtt
GNN
36
16
0
09 Mar 2019
Semantic-Guided Multi-Attention Localization for Zero-Shot Learning
Semantic-Guided Multi-Attention Localization for Zero-Shot Learning
Yizhe Zhu
Jianwen Xie
Zhiqiang Tang
Xi Peng
Ahmed Elgammal
VLM
25
119
0
01 Mar 2019
Semi-supervised Learning for Quantification of Pulmonary Edema in Chest
  X-Ray Images
Semi-supervised Learning for Quantification of Pulmonary Edema in Chest X-Ray Images
Ruizhi Liao
Jonathan Rubin
Grace Y. Lam
Seth Berkowitz
Sandeep Dalal
W. Wells
Steven Horng
Polina Golland
22
13
0
27 Feb 2019
From explanation to synthesis: Compositional program induction for
  learning from demonstration
From explanation to synthesis: Compositional program induction for learning from demonstration
Michael G. Burke
Svetlin Penkov
S. Ramamoorthy
25
20
0
27 Feb 2019
FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using
  Stochastic Inference
FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using Stochastic Inference
Jungbeom Lee
Eunji Kim
Sungmin Lee
Jangho Lee
Sungroh Yoon
24
422
0
27 Feb 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
Regularizing Black-box Models for Improved Interpretability
Regularizing Black-box Models for Improved Interpretability
Gregory Plumb
Maruan Al-Shedivat
Ángel Alexander Cabrera
Adam Perer
Eric P. Xing
Ameet Talwalkar
AAML
24
79
0
18 Feb 2019
Min-Entropy Latent Model for Weakly Supervised Object Detection
Min-Entropy Latent Model for Weakly Supervised Object Detection
Fang Wan
Pengxu Wei
Zhenjun Han
Jianbin Jiao
QiXiang Ye
WSOD
22
216
0
16 Feb 2019
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and
  Future Directions
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions
F. Altaf
Syed Mohammed Shamsul Islam
Naveed Akhtar
N. Janjua
OOD
29
200
0
15 Feb 2019
Chester: A Web Delivered Locally Computed Chest X-Ray Disease Prediction
  System
Chester: A Web Delivered Locally Computed Chest X-Ray Disease Prediction System
Joseph Paul Cohen
Paul Bertin
Vincent Frappier
OOD
MedIm
37
68
0
31 Jan 2019
Human-Centered Artificial Intelligence and Machine Learning
Human-Centered Artificial Intelligence and Machine Learning
Mark O. Riedl
SyDa
35
261
0
31 Jan 2019
Visual Entailment: A Novel Task for Fine-Grained Image Understanding
Visual Entailment: A Novel Task for Fine-Grained Image Understanding
Ning Xie
Farley Lai
Derek Doran
Asim Kadav
CoGe
51
322
0
20 Jan 2019
Explaining Explanations to Society
Explaining Explanations to Society
Leilani H. Gilpin
Cecilia Testart
Nathaniel Fruchter
Julius Adebayo
XAI
24
34
0
19 Jan 2019
Interpretable machine learning: definitions, methods, and applications
Interpretable machine learning: definitions, methods, and applications
W. James Murdoch
Chandan Singh
Karl Kumbier
R. Abbasi-Asl
Bin-Xia Yu
XAI
HAI
47
1,417
0
14 Jan 2019
The Deeper, the Better: Analysis of Person Attributes Recognition
The Deeper, the Better: Analysis of Person Attributes Recognition
Esube Bekele
W. Lawson
CVBM
29
21
0
11 Jan 2019
Low-Cost Transfer Learning of Face Tasks
Low-Cost Transfer Learning of Face Tasks
T. John
Isha Dua
V. Balasubramanian
C. V. Jawahar
CLIP
CVBM
VLM
13
0
0
09 Jan 2019
Enhancing Sound Texture in CNN-Based Acoustic Scene Classification
Enhancing Sound Texture in CNN-Based Acoustic Scene Classification
Yuzhong Wu
Tan Lee
12
39
0
06 Jan 2019
Explaining Neural Networks Semantically and Quantitatively
Explaining Neural Networks Semantically and Quantitatively
Runjin Chen
Hao Chen
Ge Huang
J. Ren
Quanshi Zhang
FAtt
23
54
0
18 Dec 2018
Adversarial Framing for Image and Video Classification
Adversarial Framing for Image and Video Classification
Konrad Zolna
Michal Zajac
Negar Rostamzadeh
Pedro H. O. Pinheiro
AAML
30
60
0
11 Dec 2018
Grounded Human-Object Interaction Hotspots from Video
Grounded Human-Object Interaction Hotspots from Video
Tushar Nagarajan
Christoph Feichtenhofer
Kristen Grauman
29
159
0
11 Dec 2018
Understanding Individual Decisions of CNNs via Contrastive
  Backpropagation
Understanding Individual Decisions of CNNs via Contrastive Backpropagation
Jindong Gu
Yinchong Yang
Volker Tresp
FAtt
17
94
0
05 Dec 2018
Multimodal Explanations by Predicting Counterfactuality in Videos
Multimodal Explanations by Predicting Counterfactuality in Videos
Atsushi Kanehira
Kentaro Takemoto
S. Inayoshi
Tatsuya Harada
26
35
0
04 Dec 2018
Interpretable Deep Learning under Fire
Interpretable Deep Learning under Fire
Xinyang Zhang
Ningfei Wang
Hua Shen
S. Ji
Xiapu Luo
Ting Wang
AAML
AI4CE
22
169
0
03 Dec 2018
Deep Learning Architect: Classification for Architectural Design through
  the Eye of Artificial Intelligence
Deep Learning Architect: Classification for Architectural Design through the Eye of Artificial Intelligence
Yuji Yoshimura
B. Cai
Zhoutong Wang
C. Ratti
20
47
0
03 Dec 2018
MIST: Multiple Instance Spatial Transformer Network
MIST: Multiple Instance Spatial Transformer Network
Baptiste Angles
Shahram Izadi
Simon Kornblith
Andrea Tagliasacchi
K. M. Yi
30
5
0
26 Nov 2018
Predicting Gender from Iris Texture May Be Harder Than It Seems
Predicting Gender from Iris Texture May Be Harder Than It Seems
Andrey Kuehlkamp
Kevin W. Bowyer
CVBM
10
17
0
25 Nov 2018
Explicit Bias Discovery in Visual Question Answering Models
Explicit Bias Discovery in Visual Question Answering Models
Varun Manjunatha
Nirat Saini
L. Davis
CML
FAtt
19
92
0
19 Nov 2018
Fully Convolutional Network with Multi-Step Reinforcement Learning for
  Image Processing
Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing
Ryosuke Furuta
Naoto Inoue
T. Yamasaki
24
52
0
10 Nov 2018
Classifying and Visualizing Emotions with Emotional DAN
Classifying and Visualizing Emotions with Emotional DAN
Ivona Tautkute
Tomasz Trzciñski
CVBM
22
16
0
23 Oct 2018
Machine Learning Methods for Track Classification in the AT-TPC
Machine Learning Methods for Track Classification in the AT-TPC
M. Kuchera
R. Ramanujan
Jack Z. Taylor
R. Strauss
D. Bazin
J. Bradt
Ruiming Chen
18
32
0
21 Oct 2018
Semantic Aware Attention Based Deep Object Co-segmentation
Semantic Aware Attention Based Deep Object Co-segmentation
Hong Chen
Yifei Huang
Hideki Nakayama
SSeg
24
73
0
16 Oct 2018
Co-Learning Feature Fusion Maps from PET-CT Images of Lung Cancer
Co-Learning Feature Fusion Maps from PET-CT Images of Lung Cancer
Ashnil Kumar
M. Fulham
D. Feng
Jinman Kim
MedIm
27
165
0
05 Oct 2018
Interpretable Spatio-temporal Attention for Video Action Recognition
Interpretable Spatio-temporal Attention for Video Action Recognition
Lili Meng
Bo Zhao
B. Chang
Gao Huang
Wei Sun
Fred Tung
Leonid Sigal
33
83
0
01 Oct 2018
Temporal-Spatial Mapping for Action Recognition
Temporal-Spatial Mapping for Action Recognition
Xiaolin Song
Cuiling Lan
Wenjun Zeng
Junliang Xing
Jingyu Yang
Xiaoyan Sun
27
48
0
11 Sep 2018
Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks
Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks
Adrià Recasens
Petr Kellnhofer
Simon Stent
Wojciech Matusik
Antonio Torralba
23
131
0
10 Sep 2018
Faithful Multimodal Explanation for Visual Question Answering
Faithful Multimodal Explanation for Visual Question Answering
Jialin Wu
Raymond J. Mooney
20
90
0
08 Sep 2018
Zero Shot Learning for Code Education: Rubric Sampling with Deep
  Learning Inference
Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference
Mike Wu
Milan Mossé
Noah D. Goodman
Chris Piech
AI4Ed
UQCV
HAI
39
57
0
05 Sep 2018
Learning Vision-based Cohesive Flight in Drone Swarms
Learning Vision-based Cohesive Flight in Drone Swarms
Fabian Schilling
Julien Lecoeur
Fabrizio Schiano
Dario Floreano
24
25
0
03 Sep 2018
Pyramidal Recurrent Unit for Language Modeling
Pyramidal Recurrent Unit for Language Modeling
Sachin Mehta
Rik Koncel-Kedziorski
Mohammad Rastegari
Hannaneh Hajishirzi
21
10
0
27 Aug 2018
Targeted Nonlinear Adversarial Perturbations in Images and Videos
Targeted Nonlinear Adversarial Perturbations in Images and Videos
R. Rey-de-Castro
H. Rabitz
AAML
16
10
0
27 Aug 2018
Treepedia 2.0: Applying Deep Learning for Large-scale Quantification of
  Urban Tree Cover
Treepedia 2.0: Applying Deep Learning for Large-scale Quantification of Urban Tree Cover
B. Cai
Xiaojiang Li
Ian Seiferling
C. Ratti
3DV
13
42
0
14 Aug 2018
Explaining the Unique Nature of Individual Gait Patterns with Deep
  Learning
Explaining the Unique Nature of Individual Gait Patterns with Deep Learning
Fabian Horst
Sebastian Lapuschkin
Wojciech Samek
K. Müller
W. Schöllhorn
AI4CE
28
207
0
13 Aug 2018
Choose Your Neuron: Incorporating Domain Knowledge through
  Neuron-Importance
Choose Your Neuron: Incorporating Domain Knowledge through Neuron-Importance
Ramprasaath R. Selvaraju
Prithvijit Chattopadhyay
Mohamed Elhoseiny
Tilak Sharma
Dhruv Batra
Devi Parikh
Stefan Lee
38
35
0
08 Aug 2018
Learning Multi-scale Features for Foreground Segmentation
Learning Multi-scale Features for Foreground Segmentation
Long Ang Lim
H. Keles
SSeg
30
178
0
04 Aug 2018
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