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

50 / 4,485 papers shown
Title
BinaryCoP: Binary Neural Network-based COVID-19 Face-Mask Wear and
  Positioning Predictor on Edge Devices
BinaryCoP: Binary Neural Network-based COVID-19 Face-Mask Wear and Positioning Predictor on Edge Devices
Nael Fasfous
M. Vemparala
Alexander Frickenstein
Lukas Frickenstein
W. Stechele
CVBM
33
35
0
06 Feb 2021
Answer Questions with Right Image Regions: A Visual Attention
  Regularization Approach
Answer Questions with Right Image Regions: A Visual Attention Regularization Approach
Yue Liu
Yangyang Guo
Jianhua Yin
Xuemeng Song
Weifeng Liu
Liqiang Nie
31
28
0
03 Feb 2021
Interpretable COVID-19 Chest X-Ray Classification via Orthogonality
  Constraint
Interpretable COVID-19 Chest X-Ray Classification via Orthogonality Constraint
Ella Y. Wang
Anirudh Som
Ankita Shukla
Hongjun Choi
Pavan Turaga
OOD
51
3
0
02 Feb 2021
SA-Net: Shuffle Attention for Deep Convolutional Neural Networks
SA-Net: Shuffle Attention for Deep Convolutional Neural Networks
Qing-Long Zhang
AI4TS
22
523
0
30 Jan 2021
TorchPRISM: Principal Image Sections Mapping, a novel method for
  Convolutional Neural Network features visualization
TorchPRISM: Principal Image Sections Mapping, a novel method for Convolutional Neural Network features visualization
Tomasz Szandała
23
1
0
27 Jan 2021
Visual explanation of black-box model: Similarity Difference and
  Uniqueness (SIDU) method
Visual explanation of black-box model: Similarity Difference and Uniqueness (SIDU) method
Satya M. Muddamsetty
M. N. Jahromi
Andreea-Emilia Ciontos
Laura M. Fenoy
T. Moeslund
AAML
45
26
0
26 Jan 2021
Deep Learning for Scene Classification: A Survey
Deep Learning for Scene Classification: A Survey
Delu Zeng
Minyu Liao
M. Tavakolian
Yulan Guo
Bolei Zhou
D. Hu
M. Pietikäinen
Li Liu
VLM
38
27
0
26 Jan 2021
Pre-training without Natural Images
Pre-training without Natural Images
Hirokatsu Kataoka
Kazushige Okayasu
Asato Matsumoto
Eisuke Yamagata
Ryosuke Yamada
Nakamasa Inoue
Akio Nakamura
Y. Satoh
81
117
0
21 Jan 2021
Coarse Temporal Attention Network (CTA-Net) for Driver's Activity
  Recognition
Coarse Temporal Attention Network (CTA-Net) for Driver's Activity Recognition
Zachary Wharton
Ardhendu Behera
Yonghuai Liu
Nikolaos Bessis
39
35
0
17 Jan 2021
COSMOS: Catching Out-of-Context Misinformation with Self-Supervised
  Learning
COSMOS: Catching Out-of-Context Misinformation with Self-Supervised Learning
Shivangi Aneja
C. Bregler
Matthias Nießner
SSL
66
48
0
15 Jan 2021
Explainability of deep vision-based autonomous driving systems: Review
  and challenges
Explainability of deep vision-based autonomous driving systems: Review and challenges
Éloi Zablocki
H. Ben-younes
P. Pérez
Matthieu Cord
XAI
53
170
0
13 Jan 2021
Context Matters: Self-Attention for Sign Language Recognition
Context Matters: Self-Attention for Sign Language Recognition
Fares Ben Slimane
Mohamed Bouguessa
SLR
11
21
0
12 Jan 2021
Automated Detection of Patellofemoral Osteoarthritis from Knee Lateral
  View Radiographs Using Deep Learning: Data from the Multicenter
  Osteoarthritis Study (MOST)
Automated Detection of Patellofemoral Osteoarthritis from Knee Lateral View Radiographs Using Deep Learning: Data from the Multicenter Osteoarthritis Study (MOST)
N. Bayramoglu
M. Nieminen
S. Saarakkala
13
20
0
12 Jan 2021
Explaining the Black-box Smoothly- A Counterfactual Approach
Explaining the Black-box Smoothly- A Counterfactual Approach
Junyu Chen
Yong Du
Yufan He
W. Paul Segars
Ye Li
MedIm
FAtt
70
100
0
11 Jan 2021
Learning from Weakly-labeled Web Videos via Exploring Sub-Concepts
Learning from Weakly-labeled Web Videos via Exploring Sub-Concepts
Kunpeng Li
Zizhao Zhang
Guanhang Wu
Xuehan Xiong
Chen-Yu Lee
Zhichao Lu
Y. Fu
Tomas Pfister
34
5
0
11 Jan 2021
End-to-end Prostate Cancer Detection in bpMRI via 3D CNNs: Effects of
  Attention Mechanisms, Clinical Priori and Decoupled False Positive Reduction
End-to-end Prostate Cancer Detection in bpMRI via 3D CNNs: Effects of Attention Mechanisms, Clinical Priori and Decoupled False Positive Reduction
A. Saha
M. Hosseinzadeh
Henkjan Huisman
MedIm
45
130
0
08 Jan 2021
Deep Learning Models May Spuriously Classify Covid-19 from X-ray Images
  Based on Confounders
Deep Learning Models May Spuriously Classify Covid-19 from X-ray Images Based on Confounders
K. B. Ahmed
Lawrence Hall
Dmitry Goldgof
Gregory M. Goldgof
Rahul Paul
16
3
0
08 Jan 2021
One-Class Classification: A Survey
One-Class Classification: A Survey
Pramuditha Perera
Poojan Oza
Vishal M. Patel
57
112
0
08 Jan 2021
Learning Temporal Dynamics from Cycles in Narrated Video
Learning Temporal Dynamics from Cycles in Narrated Video
Dave Epstein
Jiajun Wu
Cordelia Schmid
Chen Sun
AI4TS
45
14
0
07 Jan 2021
Explainable AI for Robot Failures: Generating Explanations that Improve
  User Assistance in Fault Recovery
Explainable AI for Robot Failures: Generating Explanations that Improve User Assistance in Fault Recovery
Devleena Das
Siddhartha Banerjee
Sonia Chernova
25
113
0
05 Jan 2021
Robust Machine Learning Systems: Challenges, Current Trends,
  Perspectives, and the Road Ahead
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead
Mohamed Bennai
Mahum Naseer
T. Theocharides
C. Kyrkou
O. Mutlu
Lois Orosa
Jungwook Choi
OOD
81
100
0
04 Jan 2021
Local Black-box Adversarial Attacks: A Query Efficient Approach
Local Black-box Adversarial Attacks: A Query Efficient Approach
Tao Xiang
Hangcheng Liu
Shangwei Guo
Tianwei Zhang
X. Liao
AAML
MLAU
26
15
0
04 Jan 2021
Advances in Electron Microscopy with Deep Learning
Advances in Electron Microscopy with Deep Learning
Jeffrey M. Ede
42
2
0
04 Jan 2021
Weakly-Supervised Saliency Detection via Salient Object Subitizing
Weakly-Supervised Saliency Detection via Salient Object Subitizing
Xiaoyang Zheng
Xin Tan
Jie Zhou
Lizhuang Ma
Rynson W. H. Lau
45
18
0
04 Jan 2021
Weakly Supervised Multi-Object Tracking and Segmentation
Weakly Supervised Multi-Object Tracking and Segmentation
Idoia Ruiz
Lorenzo Porzi
Samuel Rota Buló
Peter Kontschieder
J. Serrat
48
9
0
03 Jan 2021
iGOS++: Integrated Gradient Optimized Saliency by Bilateral
  Perturbations
iGOS++: Integrated Gradient Optimized Saliency by Bilateral Perturbations
Saeed Khorram
T. Lawson
Fuxin Li
AAML
FAtt
11
26
0
31 Dec 2020
Quantitative Evaluations on Saliency Methods: An Experimental Study
Quantitative Evaluations on Saliency Methods: An Experimental Study
Xiao-hui Li
Yuhan Shi
Haoyang Li
Wei Bai
Yuanwei Song
Caleb Chen Cao
Lei Chen
FAtt
XAI
47
18
0
31 Dec 2020
TransPose: Keypoint Localization via Transformer
TransPose: Keypoint Localization via Transformer
Sen Yang
Zhibin Quan
Mu Nie
Wankou Yang
ViT
145
263
0
28 Dec 2020
Playing to distraction: towards a robust training of CNN classifiers
  through visual explanation techniques
Playing to distraction: towards a robust training of CNN classifiers through visual explanation techniques
David Morales
Estefanía Talavera
B. Remeseiro
34
6
0
28 Dec 2020
Inserting Information Bottlenecks for Attribution in Transformers
Inserting Information Bottlenecks for Attribution in Transformers
Zhiying Jiang
Raphael Tang
Ji Xin
Jimmy J. Lin
41
6
0
27 Dec 2020
Multi-modal Identification of State-Sponsored Propaganda on Social Media
Multi-modal Identification of State-Sponsored Propaganda on Social Media
Xiaobo Guo
Soroush Vosoughi
23
4
0
24 Dec 2020
Efficient and Visualizable Convolutional Neural Networks for COVID-19
  Classification Using Chest CT
Efficient and Visualizable Convolutional Neural Networks for COVID-19 Classification Using Chest CT
A. Garg
Salehi
M. Rocca
R. Garner
D. Duncan
25
45
0
22 Dec 2020
Unbox the Blackbox: Predict and Interpret YouTube Viewership Using Deep
  Learning
Unbox the Blackbox: Predict and Interpret YouTube Viewership Using Deep Learning
Jiaheng Xie
Xinyu Liu
HAI
33
10
0
21 Dec 2020
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks,
  and Defenses
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses
Micah Goldblum
Dimitris Tsipras
Chulin Xie
Xinyun Chen
Avi Schwarzschild
D. Song
Aleksander Madry
Yue Liu
Tom Goldstein
SILM
37
271
0
18 Dec 2020
Towards Robust Explanations for Deep Neural Networks
Towards Robust Explanations for Deep Neural Networks
Ann-Kathrin Dombrowski
Christopher J. Anders
K. Müller
Pan Kessel
FAtt
35
63
0
18 Dec 2020
Improving 3D convolutional neural network comprehensibility via
  interactive visualization of relevance maps: Evaluation in Alzheimer's
  disease
Improving 3D convolutional neural network comprehensibility via interactive visualization of relevance maps: Evaluation in Alzheimer's disease
M. Dyrba
Moritz Hanzig
S. Altenstein
Sebastian Bader
Tommaso Ballarini
...
B. Ertl-Wagner
M. Wagner
J. Wiltfang
F. Jessen
S. Teipel
FAtt
MedIm
55
51
0
18 Dec 2020
TDN: Temporal Difference Networks for Efficient Action Recognition
TDN: Temporal Difference Networks for Efficient Action Recognition
Limin Wang
Zhan Tong
Bin Ji
Gangshan Wu
28
391
0
18 Dec 2020
Transformer Interpretability Beyond Attention Visualization
Transformer Interpretability Beyond Attention Visualization
Hila Chefer
Shir Gur
Lior Wolf
45
645
0
17 Dec 2020
TrojanZoo: Towards Unified, Holistic, and Practical Evaluation of Neural
  Backdoors
TrojanZoo: Towards Unified, Holistic, and Practical Evaluation of Neural Backdoors
Ren Pang
Zheng Zhang
Xiangshan Gao
Zhaohan Xi
S. Ji
Peng Cheng
Xiapu Luo
Ting Wang
AAML
29
31
0
16 Dec 2020
MELINDA: A Multimodal Dataset for Biomedical Experiment Method
  Classification
MELINDA: A Multimodal Dataset for Biomedical Experiment Method Classification
Te-Lin Wu
Shikhar Singh
S. Paul
Gully A. Burns
Nanyun Peng
30
18
0
16 Dec 2020
Developing Future Human-Centered Smart Cities: Critical Analysis of
  Smart City Security, Interpretability, and Ethical Challenges
Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges
Kashif Ahmad
Majdi Maabreh
M. Ghaly
Khalil Khan
Junaid Qadir
Ala I. Al-Fuqaha
32
142
0
14 Dec 2020
Aggregative Self-Supervised Feature Learning from a Limited Sample
Aggregative Self-Supervised Feature Learning from a Limited Sample
Jiuwen Zhu
Yuexiang Li
S. Kevin Zhou
SSL
27
0
0
14 Dec 2020
HaS-Nets: A Heal and Select Mechanism to Defend DNNs Against Backdoor
  Attacks for Data Collection Scenarios
HaS-Nets: A Heal and Select Mechanism to Defend DNNs Against Backdoor Attacks for Data Collection Scenarios
Hassan Ali
Surya Nepal
S. Kanhere
S. Jha
AAML
27
12
0
14 Dec 2020
Demystifying Deep Neural Networks Through Interpretation: A Survey
Demystifying Deep Neural Networks Through Interpretation: A Survey
Giang Dao
Minwoo Lee
FaML
FAtt
22
1
0
13 Dec 2020
AIforCOVID: predicting the clinical outcomes in patients with COVID-19
  applying AI to chest-X-rays. An Italian multicentre study
AIforCOVID: predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study
Paolo Soda
N. DÁmico
J. Tessadori
G. Valbusa
V. Guarrasi
...
Alessio Del Bue
F. Tedoldi
Marco Alì
Diego Sona
S. Papa
24
74
0
11 Dec 2020
Understanding Learned Reward Functions
Understanding Learned Reward Functions
Eric J. Michaud
Adam Gleave
Stuart J. Russell
XAI
OffRL
30
33
0
10 Dec 2020
This Face Does Not Exist ... But It Might Be Yours! Identity Leakage in
  Generative Models
This Face Does Not Exist ... But It Might Be Yours! Identity Leakage in Generative Models
Patrick J. Tinsley
A. Czajka
Patrick Flynn
CVBM
GAN
44
40
0
10 Dec 2020
Debiased-CAM to mitigate image perturbations with faithful visual
  explanations of machine learning
Debiased-CAM to mitigate image perturbations with faithful visual explanations of machine learning
Wencan Zhang
Mariella Dimiccoli
Brian Y. Lim
FAtt
34
18
0
10 Dec 2020
Machine Learning for Cataract Classification and Grading on Ophthalmic
  Imaging Modalities: A Survey
Machine Learning for Cataract Classification and Grading on Ophthalmic Imaging Modalities: A Survey
Xiaoqin Zhang
Yan Hu
Zunjie Xiao
Jiansheng Fang
Risa Higashita
Jiang-Dong Liu
56
41
0
09 Dec 2020
CASTing Your Model: Learning to Localize Improves Self-Supervised
  Representations
CASTing Your Model: Learning to Localize Improves Self-Supervised Representations
Ramprasaath R. Selvaraju
Karan Desai
Justin Johnson
Nikhil Naik
SSL
36
79
0
08 Dec 2020
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