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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 / 5,305 papers shown
Title
Blind Backdoors in Deep Learning Models
Blind Backdoors in Deep Learning Models
Eugene Bagdasaryan
Vitaly Shmatikov
AAMLFedMLSILM
160
310
0
08 May 2020
XEM: An Explainable-by-Design Ensemble Method for Multivariate Time
  Series Classification
XEM: An Explainable-by-Design Ensemble Method for Multivariate Time Series Classification
Kevin Fauvel
Elisa Fromont
Véronique Masson
P. Faverdin
Alexandre Termier
AI4TS
72
44
0
07 May 2020
Towards Frequency-Based Explanation for Robust CNN
Towards Frequency-Based Explanation for Robust CNN
Zifan Wang
Yilin Yang
Ankit Shrivastava
Varun Rawal
Zihao Ding
AAMLFAtt
57
49
0
06 May 2020
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community
  Acquired Pneumonia
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia
Xi Ouyang
Jiayu Huo
L. Xia
F. Shan
Jun Liu
...
Xiaohuan Cao
Yaozong Gao
Dijia Wu
Qian Wang
Dinggang Shen
69
311
0
06 May 2020
Sub-Image Anomaly Detection with Deep Pyramid Correspondences
Sub-Image Anomaly Detection with Deep Pyramid Correspondences
Niv Cohen
Yedid Hoshen
121
484
0
05 May 2020
What-if I ask you to explain: Explaining the effects of perturbations in
  procedural text
What-if I ask you to explain: Explaining the effects of perturbations in procedural text
Dheeraj Rajagopal
Niket Tandon
Bhavana Dalvi
Peter Clarke
Eduard H. Hovy
54
14
0
04 May 2020
Visualizing Deep Learning-based Radio Modulation Classifier
Visualizing Deep Learning-based Radio Modulation Classifier
Liang Huang
You Zhang
Weijian Pan
Jinyin Chen
L. Qian
Yuan Wu
35
32
0
03 May 2020
Hide-and-Seek: A Template for Explainable AI
Hide-and-Seek: A Template for Explainable AI
Thanos Tagaris
A. Stafylopatis
24
6
0
30 Apr 2020
COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19
COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19
Yifan Zhang
Shuaicheng Niu
Zhen Qiu
Ying Wei
P. Zhao
Jianhua Yao
Junzhou Huang
Qingyao Wu
Mingkui Tan
OOD
63
70
0
30 Apr 2020
Explainable Deep Learning: A Field Guide for the Uninitiated
Explainable Deep Learning: A Field Guide for the Uninitiated
Gabrielle Ras
Ning Xie
Marcel van Gerven
Derek Doran
AAMLXAI
114
380
0
30 Apr 2020
Single-Side Domain Generalization for Face Anti-Spoofing
Single-Side Domain Generalization for Face Anti-Spoofing
Yunpei Jia
Jie Zhang
Shiguang Shan
Xilin Chen
OOD
177
245
0
29 Apr 2020
PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning
PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning
Arthur Douillard
Matthieu Cord
Charles Ollion
Thomas Robert
Eduardo Valle
CLL
59
6
0
28 Apr 2020
Gradient-Induced Co-Saliency Detection
Gradient-Induced Co-Saliency Detection
Zhao Zhang
Wenda Jin
Jun Xu
Ming-Ming Cheng
122
110
0
28 Apr 2020
A scoping review of transfer learning research on medical image analysis
  using ImageNet
A scoping review of transfer learning research on medical image analysis using ImageNet
M. Morid
Alireza Borjali
G. Fiol
78
370
0
27 Apr 2020
Climate Adaptation: Reliably Predicting from Imbalanced Satellite Data
Climate Adaptation: Reliably Predicting from Imbalanced Satellite Data
Ruchit Rawal
Prabhu Pradhan
40
1
0
26 Apr 2020
Harnessing adversarial examples with a surprisingly simple defense
Harnessing adversarial examples with a surprisingly simple defense
Ali Borji
AAML
29
0
0
26 Apr 2020
Explainable Deep CNNs for MRI-Based Diagnosis of Alzheimer's Disease
Explainable Deep CNNs for MRI-Based Diagnosis of Alzheimer's Disease
Eduardo Nigri
N. Ziviani
F. Cappabianco
Augusto Antunes
Adriano Veloso
MedIm
30
39
0
25 Apr 2020
A Black-box Adversarial Attack Strategy with Adjustable Sparsity and
  Generalizability for Deep Image Classifiers
A Black-box Adversarial Attack Strategy with Adjustable Sparsity and Generalizability for Deep Image Classifiers
Arka Ghosh
S. S. Mullick
Shounak Datta
Swagatam Das
R. Mallipeddi
A. Das
AAML
63
38
0
24 Apr 2020
A Cascaded Learning Strategy for Robust COVID-19 Pneumonia Chest X-Ray
  Screening
A Cascaded Learning Strategy for Robust COVID-19 Pneumonia Chest X-Ray Screening
Chun-Fu Yeh
Hsien-Tzu Cheng
Andy Wei
Hsin-Ming Chen
Po-Chen Kuo
...
Nai-Kuan Chou
Kuan-Hua Chao
Yi-Chin Tu
Yeun-Chung Chang
Tyng-Luh Liu
42
43
0
24 Apr 2020
Debiasing Skin Lesion Datasets and Models? Not So Fast
Debiasing Skin Lesion Datasets and Models? Not So Fast
Alceu Bissoto
Eduardo Valle
Sandra Avila
102
55
0
23 Apr 2020
Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray
  images using fine-tuned deep neural networks
Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks
Narinder Singh Punn
Sonali Agarwal
99
193
0
23 Apr 2020
Live Trojan Attacks on Deep Neural Networks
Live Trojan Attacks on Deep Neural Networks
Robby Costales
Chengzhi Mao
R. Norwitz
Bryan Kim
Junfeng Yang
AAML
120
22
0
22 Apr 2020
Deep Learning for Screening COVID-19 using Chest X-Ray Images
Deep Learning for Screening COVID-19 using Chest X-Ray Images
S. Basu
Sushmita Mitra
N. Saha
64
180
0
22 Apr 2020
Understanding Integrated Gradients with SmoothTaylor for Deep Neural
  Network Attribution
Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution
Gary S. W. Goh
Sebastian Lapuschkin
Leander Weber
Wojciech Samek
Alexander Binder
FAtt
75
35
0
22 Apr 2020
SensitiveLoss: Improving Accuracy and Fairness of Face Representations
  with Discrimination-Aware Deep Learning
SensitiveLoss: Improving Accuracy and Fairness of Face Representations with Discrimination-Aware Deep Learning
Ignacio Serna
Aythami Morales
Julian Fierrez
Manuel Cebrian
Nick Obradovich
Iyad Rahwan
FaMLCVBM
70
79
0
22 Apr 2020
Weakly Supervised Learning Guided by Activation Mapping Applied to a
  Novel Citrus Pest Benchmark
Weakly Supervised Learning Guided by Activation Mapping Applied to a Novel Citrus Pest Benchmark
Edson Bollis
Hélio Pedrini
Sandra Avila
38
24
0
22 Apr 2020
Perturb More, Trap More: Understanding Behaviors of Graph Neural
  Networks
Perturb More, Trap More: Understanding Behaviors of Graph Neural Networks
Chaojie Ji
Ruxin Wang
Hongyan Wu
64
7
0
21 Apr 2020
AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in
  Image Classification
AMC-Loss: Angular Margin Contrastive Loss for Improved Explainability in Image Classification
Hongjun Choi
Anirudh Som
Pavan Turaga
39
25
0
21 Apr 2020
Explainable Goal-Driven Agents and Robots -- A Comprehensive Review
Explainable Goal-Driven Agents and Robots -- A Comprehensive Review
F. Sado
C. K. Loo
W. S. Liew
Matthias Kerzel
S. Wermter
96
52
0
21 Apr 2020
When Residual Learning Meets Dense Aggregation: Rethinking the
  Aggregation of Deep Neural Networks
When Residual Learning Meets Dense Aggregation: Rethinking the Aggregation of Deep Neural Networks
Zhiyu Zhu
Zhen-Peng Bian
Junhui Hou
Yi Wang
Lap-Pui Chau
22
2
0
19 Apr 2020
Occluded Prohibited Items Detection: an X-ray Security Inspection
  Benchmark and De-occlusion Attention Module
Occluded Prohibited Items Detection: an X-ray Security Inspection Benchmark and De-occlusion Attention Module
Yanlu Wei
Renshuai Tao
Jay Zhangjie Wu
Yuqing Ma
Libo Zhang
Xianglong Liu
39
189
0
18 Apr 2020
SCOUT: Self-aware Discriminant Counterfactual Explanations
SCOUT: Self-aware Discriminant Counterfactual Explanations
Pei Wang
Nuno Vasconcelos
FAtt
55
82
0
16 Apr 2020
DeepFakes Evolution: Analysis of Facial Regions and Fake Detection
  Performance
DeepFakes Evolution: Analysis of Facial Regions and Fake Detection Performance
Ruben Tolosana
Sergio Romero-Tapiador
Julian Fierrez
R. Vera-Rodríguez
CVBM
94
90
0
16 Apr 2020
Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in
  Chest X-rays
Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-rays
S. Rajaraman
Jenifer Siegelman
P. Alderson
Lucas S. Folio
L. Folio
Sameer Kiran Antani
59
268
0
16 Apr 2020
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification
  and Segmentation
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation
Yu-Huan Wu
Shanghua Gao
Jie Mei
Jun Xu
Deng-Ping Fan
Chao Zhao
Ming-Ming Cheng
76
381
0
15 Apr 2020
Explaining Regression Based Neural Network Model
Explaining Regression Based Neural Network Model
Mégane Millan
Catherine Achard
FAtt
33
3
0
15 Apr 2020
Melanoma Detection using Adversarial Training and Deep Transfer Learning
Melanoma Detection using Adversarial Training and Deep Transfer Learning
H. Zunair
Benourida Hamza
GANMedIm
100
89
0
14 Apr 2020
Distilling Localization for Self-Supervised Representation Learning
Distilling Localization for Self-Supervised Representation Learning
Nanxuan Zhao
Zhirong Wu
Rynson W. H. Lau
Stephen Lin
SSL
159
56
0
14 Apr 2020
InsideBias: Measuring Bias in Deep Networks and Application to Face
  Gender Biometrics
InsideBias: Measuring Bias in Deep Networks and Application to Face Gender Biometrics
Ignacio Serna
Alejandro Peña
Aythami Morales
Julian Fierrez
CVBM
101
62
0
14 Apr 2020
Contrastive Examples for Addressing the Tyranny of the Majority
Contrastive Examples for Addressing the Tyranny of the Majority
V. Sharmanska
Lisa Anne Hendricks
Trevor Darrell
Novi Quadrianto
72
29
0
14 Apr 2020
The Devil is in the Details: Self-Supervised Attention for Vehicle
  Re-Identification
The Devil is in the Details: Self-Supervised Attention for Vehicle Re-Identification
Pirazh Khorramshahi
Neehar Peri
Jun-Cheng Chen
Rama Chellappa
92
137
0
14 Apr 2020
Deep Learning COVID-19 Features on CXR using Limited Training Data Sets
Deep Learning COVID-19 Features on CXR using Limited Training Data Sets
Y. Oh
Sangjoon Park
J. C. Ye
70
699
0
13 Apr 2020
PatchAttack: A Black-box Texture-based Attack with Reinforcement
  Learning
PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning
Chenglin Yang
Adam Kortylewski
Cihang Xie
Yinzhi Cao
Alan Yuille
AAML
79
109
0
12 Apr 2020
Exploring The Spatial Reasoning Ability of Neural Models in Human IQ
  Tests
Exploring The Spatial Reasoning Ability of Neural Models in Human IQ Tests
Hyunjae Kim
Yookyung Koh
Jinheon Baek
Jaewoo Kang
27
4
0
11 Apr 2020
Attend and Decode: 4D fMRI Task State Decoding Using Attention Models
Attend and Decode: 4D fMRI Task State Decoding Using Attention Models
Sam Nguyen
Brenda Ng
Alan Kaplan
Priyadip Ray
63
25
0
10 Apr 2020
DeepCOVIDExplainer: Explainable COVID-19 Diagnosis Based on Chest X-ray
  Images
DeepCOVIDExplainer: Explainable COVID-19 Diagnosis Based on Chest X-ray Images
Md. Rezaul Karim
Till Dohmen
Dietrich-Rebholz Schuhmann
Stefan Decker
Michael Cochez
Oya Beyan
71
88
0
09 Apr 2020
Self-supervised Equivariant Attention Mechanism for Weakly Supervised
  Semantic Segmentation
Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation
Yude Wang
Jie Zhang
Meina Kan
Shiguang Shan
Xilin Chen
101
630
0
09 Apr 2020
Multi-Granularity Canonical Appearance Pooling for Remote Sensing Scene
  Classification
Multi-Granularity Canonical Appearance Pooling for Remote Sensing Scene Classification
Shidong Wang
Yu Guan
Ling Shao
68
99
0
09 Apr 2020
Improving BERT with Self-Supervised Attention
Improving BERT with Self-Supervised Attention
Yiren Chen
Xiaoyu Kou
Jiangang Bai
Yunhai Tong
30
10
0
08 Apr 2020
Survey for Trust-aware Recommender Systems: A Deep Learning Perspective
Survey for Trust-aware Recommender Systems: A Deep Learning Perspective
Manqing Dong
Feng Yuan
Lina Yao
Xianzhi Wang
Xiwei Xu
Liming Zhu
61
8
0
08 Apr 2020
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