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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
Brand > Logo: Visual Analysis of Fashion Brands
Brand > Logo: Visual Analysis of Fashion Brands
M. Kiapour
Robinson Piramuthu
35
7
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
47
33
0
21 Oct 2018
Predicting optical coherence tomography-derived diabetic macular edema
  grades from fundus photographs using deep learning
Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning
A. Varadarajan
Pinal Bavishi
Paisan Ruamviboonsuk
Peranut Chotcomwongse
Subhashini Venugopalan
...
J. Ledsam
P. Keane
G. Corrado
L. Peng
D. Webster
MedIm
98
110
0
18 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
67
73
0
16 Oct 2018
Deep Attentive Tracking via Reciprocative Learning
Deep Attentive Tracking via Reciprocative Learning
Shi Pu
Yibing Song
Chao Ma
Honggang Zhang
Ming-Hsuan Yang
83
166
0
09 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
Dagan Feng
Jinman Kim
MedIm
44
168
0
05 Oct 2018
Image as Data: Automated Visual Content Analysis for Political Science
Image as Data: Automated Visual Content Analysis for Political Science
Jungseock Joo
Zachary C. Steinert-Threlkeld
48
42
0
03 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
101
83
0
01 Oct 2018
Automatic brain tumor grading from MRI data using convolutional neural
  networks and quality assessment
Automatic brain tumor grading from MRI data using convolutional neural networks and quality assessment
Sérgio Pereira
Raphael Meier
Victor Alves
M. Reyes
Carlos Alberto Silva
40
81
0
25 Sep 2018
Pre and Post-hoc Diagnosis and Interpretation of Malignancy from Breast
  DCE-MRI
Pre and Post-hoc Diagnosis and Interpretation of Malignancy from Breast DCE-MRI
Gabriel Maicas
A. Bradley
Jacinto C. Nascimento
Ian Reid
G. Carneiro
79
28
0
25 Sep 2018
MASON: A Model AgnoStic ObjectNess Framework
MASON: A Model AgnoStic ObjectNess Framework
K. J. Joseph
V. Balasubramanian
OCL
42
2
0
20 Sep 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
78
49
0
11 Sep 2018
Faithful Multimodal Explanation for Visual Question Answering
Faithful Multimodal Explanation for Visual Question Answering
Jialin Wu
Raymond J. Mooney
77
91
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
AI4EdUQCVHAI
83
58
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
54
25
0
03 Sep 2018
Explaining Character-Aware Neural Networks for Word-Level Prediction: Do
  They Discover Linguistic Rules?
Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules?
Fréderic Godin
Kris Demuynck
J. Dambre
W. D. Neve
T. Demeester
AI4CE
82
17
0
28 Aug 2018
How do Convolutional Neural Networks Learn Design?
How do Convolutional Neural Networks Learn Design?
Shailza Jolly
Brian Kenji Iwana
Ryohei Kuroki
S. Uchida
DiffM
55
14
0
25 Aug 2018
Dynamic Routing on Deep Neural Network for Thoracic Disease
  Classification and Sensitive Area Localization
Dynamic Routing on Deep Neural Network for Thoracic Disease Classification and Sensitive Area Localization
Yan Shen
Mingchen Gao
MedIm
66
53
0
17 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
30
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
63
213
0
13 Aug 2018
Weakly- and Semi-Supervised Panoptic Segmentation
Weakly- and Semi-Supervised Panoptic Segmentation
Qizhu Li
Anurag Arnab
Philip Torr
102
165
0
10 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
90
37
0
08 Aug 2018
Deep Factorised Inverse-Sketching
Deep Factorised Inverse-Sketching
Kaiyue Pang
Da Li
Jifei Song
Yi-Zhe Song
Tao Xiang
Timothy M. Hospedales
70
19
0
07 Aug 2018
Learning Multi-scale Features for Foreground Segmentation
Learning Multi-scale Features for Foreground Segmentation
Long Ang Lim
H. Keles
SSeg
62
179
0
04 Aug 2018
Ask, Acquire, and Attack: Data-free UAP Generation using Class
  Impressions
Ask, Acquire, and Attack: Data-free UAP Generation using Class Impressions
Konda Reddy Mopuri
P. Uppala
R. Venkatesh Babu
AAML
68
85
0
03 Aug 2018
Analyzing Human-Human Interactions: A Survey
Analyzing Human-Human Interactions: A Survey
Alexandros Stergiou
R. Poppe
69
14
0
31 Jul 2018
Regional Multi-scale Approach for Visually Pleasing Explanations of Deep
  Neural Networks
Regional Multi-scale Approach for Visually Pleasing Explanations of Deep Neural Networks
Dasom Seo
Kanghan Oh
Il-Seok Oh
FAtt
44
23
0
31 Jul 2018
Sidekick Policy Learning for Active Visual Exploration
Sidekick Policy Learning for Active Visual Exploration
Santhosh Kumar Ramakrishnan
Kristen Grauman
139
29
0
29 Jul 2018
Grounding Visual Explanations
Grounding Visual Explanations
Lisa Anne Hendricks
Ronghang Hu
Trevor Darrell
Zeynep Akata
FAtt
59
230
0
25 Jul 2018
Model Agnostic Saliency for Weakly Supervised Lesion Detection from
  Breast DCE-MRI
Model Agnostic Saliency for Weakly Supervised Lesion Detection from Breast DCE-MRI
Gabriel Maicas
G. Snaauw
A. Bradley
Ian Reid
G. Carneiro
MedIm
60
14
0
20 Jul 2018
Improving Simple Models with Confidence Profiles
Improving Simple Models with Confidence Profiles
Amit Dhurandhar
Karthikeyan Shanmugam
Ronny Luss
Peder Olsen
71
46
0
19 Jul 2018
Take a Look Around: Using Street View and Satellite Images to Estimate
  House Prices
Take a Look Around: Using Street View and Satellite Images to Estimate House Prices
Stephen Law
Brooks Paige
Chris Russell
60
136
0
18 Jul 2018
CBAM: Convolutional Block Attention Module
CBAM: Convolutional Block Attention Module
Sanghyun Woo
Jongchan Park
Joon-Young Lee
In So Kweon
231
16,679
0
17 Jul 2018
Presentation Attack Detection for Cadaver Iris
Presentation Attack Detection for Cadaver Iris
Mateusz Trokielewicz
A. Czajka
P. Maciejewicz
CVBM
48
24
0
11 Jul 2018
Perception of Image Features in Post-Mortem Iris Recognition: Humans vs
  Machines
Perception of Image Features in Post-Mortem Iris Recognition: Humans vs Machines
Mateusz Trokielewicz
A. Czajka
P. Maciejewicz
CVBM
130
2
0
11 Jul 2018
ChestNet: A Deep Neural Network for Classification of Thoracic Diseases
  on Chest Radiography
ChestNet: A Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography
Hongyu Wang
Yong-quan Xia
83
109
0
09 Jul 2018
Automatic Classification of Defective Photovoltaic Module Cells in
  Electroluminescence Images
Automatic Classification of Defective Photovoltaic Module Cells in Electroluminescence Images
S. Deitsch
Vincent Christlein
S. Berger
C. Buerhop‐Lutz
Andreas Maier
F. Gallwitz
Christian Riess
76
365
0
08 Jul 2018
Parallel Convolutional Networks for Image Recognition via a
  Discriminator
Parallel Convolutional Networks for Image Recognition via a Discriminator
Shiqi Yang
G. Peng
24
3
0
06 Jul 2018
Confidential Inference via Ternary Model Partitioning
Confidential Inference via Ternary Model Partitioning
Zhongshu Gu
Heqing Huang
Jialong Zhang
D. Su
Hani Jamjoom
Ankita Lamba
Dimitrios E. Pendarakis
Ian Molloy
85
53
0
03 Jul 2018
Women also Snowboard: Overcoming Bias in Captioning Models (Extended
  Abstract)
Women also Snowboard: Overcoming Bias in Captioning Models (Extended Abstract)
Lisa Anne Hendricks
Kaylee Burns
Kate Saenko
Trevor Darrell
Anna Rohrbach
139
480
0
02 Jul 2018
A Benchmark for Interpretability Methods in Deep Neural Networks
A Benchmark for Interpretability Methods in Deep Neural Networks
Sara Hooker
D. Erhan
Pieter-Jan Kindermans
Been Kim
FAttUQCV
132
683
0
28 Jun 2018
This Looks Like That: Deep Learning for Interpretable Image Recognition
This Looks Like That: Deep Learning for Interpretable Image Recognition
Chaofan Chen
Oscar Li
Chaofan Tao
A. Barnett
Jonathan Su
Cynthia Rudin
278
1,188
0
27 Jun 2018
Deep Feature Factorization For Concept Discovery
Deep Feature Factorization For Concept Discovery
Edo Collins
R. Achanta
Sabine Süsstrunk
78
92
0
26 Jun 2018
xGEMs: Generating Examplars to Explain Black-Box Models
xGEMs: Generating Examplars to Explain Black-Box Models
Shalmali Joshi
Oluwasanmi Koyejo
Been Kim
Joydeep Ghosh
MLAU
70
40
0
22 Jun 2018
Deep Drone Racing: Learning Agile Flight in Dynamic Environments
Deep Drone Racing: Learning Agile Flight in Dynamic Environments
Elia Kaufmann
Antonio Loquercio
René Ranftl
Alexey Dosovitskiy
V. Koltun
Davide Scaramuzza
63
135
0
22 Jun 2018
Gradient Adversarial Training of Neural Networks
Gradient Adversarial Training of Neural Networks
Ayan Sinha
Zhao Chen
Vijay Badrinarayanan
Andrew Rabinovich
AAML
63
33
0
21 Jun 2018
Contrastive Explanations with Local Foil Trees
Contrastive Explanations with Local Foil Trees
J. V. D. Waa
M. Robeer
J. Diggelen
Matthieu J. S. Brinkhuis
Mark Antonius Neerincx
FAtt
79
82
0
19 Jun 2018
RISE: Randomized Input Sampling for Explanation of Black-box Models
RISE: Randomized Input Sampling for Explanation of Black-box Models
Vitali Petsiuk
Abir Das
Kate Saenko
FAtt
213
1,177
0
19 Jun 2018
Conditional Affordance Learning for Driving in Urban Environments
Conditional Affordance Learning for Driving in Urban Environments
Axel Sauer
Nikolay Savinov
Andreas Geiger
82
187
0
18 Jun 2018
Hierarchical interpretations for neural network predictions
Hierarchical interpretations for neural network predictions
Chandan Singh
W. James Murdoch
Bin Yu
77
146
0
14 Jun 2018
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