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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
Visualization for Histopathology Images using Graph Convolutional Neural
  Networks
Visualization for Histopathology Images using Graph Convolutional Neural Networks
M. Sureka
Abhijeet Patil
Deepak Anand
A. Sethi
FAttGNNMedIm
59
36
0
16 Jun 2020
Interpretable multimodal fusion networks reveal mechanisms of brain
  cognition
Interpretable multimodal fusion networks reveal mechanisms of brain cognition
Wenxing Hu
Xianghe Meng
Yuntong Bai
Aiying Zhang
Biao Cai
Gemeng Zhang
T. Wilson
Julia M. Stephen
Vince D. Calhoun
Yu-Ping Wang
36
39
0
16 Jun 2020
Momentum Contrastive Learning for Few-Shot COVID-19 Diagnosis from Chest
  CT Images
Momentum Contrastive Learning for Few-Shot COVID-19 Diagnosis from Chest CT Images
Xiaocong Chen
Lina Yao
Tao Zhou
Jinming Dong
Yu Zhang
79
172
0
16 Jun 2020
How Much Can I Trust You? -- Quantifying Uncertainties in Explaining
  Neural Networks
How Much Can I Trust You? -- Quantifying Uncertainties in Explaining Neural Networks
Kirill Bykov
Marina M.-C. Höhne
Klaus-Robert Muller
Shinichi Nakajima
Marius Kloft
UQCVFAtt
112
31
0
16 Jun 2020
Opportunities and Challenges in Explainable Artificial Intelligence
  (XAI): A Survey
Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey
Arun Das
P. Rad
XAI
179
607
0
16 Jun 2020
Mitigating Gender Bias in Captioning Systems
Mitigating Gender Bias in Captioning Systems
Ruixiang Tang
Mengnan Du
Yuening Li
Zirui Liu
Na Zou
Helen Zhou
FaML
105
66
0
15 Jun 2020
ICAM: Interpretable Classification via Disentangled Representations and
  Feature Attribution Mapping
ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping
Cher Bass
Mariana da Silva
Carole Sudre
Petru-Daniel Tudosiu
Stephen M. Smith
E. C. Robinson
FAtt
53
40
0
15 Jun 2020
Multi-Miner: Object-Adaptive Region Mining for Weakly-Supervised
  Semantic Segmentation
Multi-Miner: Object-Adaptive Region Mining for Weakly-Supervised Semantic Segmentation
Kuangqi Zhou
Qibin Hou
Zun Li
Jiashi Feng
37
5
0
14 Jun 2020
Hindsight Logging for Model Training
Hindsight Logging for Model Training
Rolando Garcia
Eric Liu
Vikram Sreekanti
Bobby Yan
Anusha Dandamudi
Joseph E. Gonzalez
J. M. Hellerstein
Koushik Sen
VLM
77
10
0
12 Jun 2020
Learning Effective Representations for Person-Job Fit by Feature Fusion
Learning Effective Representations for Person-Job Fit by Feature Fusion
Jun-hai Jiang
Songyun Ye
Wei Wang
Jingran Xu
Xia Luo
FaML
44
48
0
12 Jun 2020
SegNBDT: Visual Decision Rules for Segmentation
SegNBDT: Visual Decision Rules for Segmentation
Alvin Wan
Daniel Ho
You Song
Henk Tillman
Sarah Adel Bargal
Joseph E. Gonzalez
SSeg
102
6
0
11 Jun 2020
Rethinking Localization Map: Towards Accurate Object Perception with
  Self-Enhancement Maps
Rethinking Localization Map: Towards Accurate Object Perception with Self-Enhancement Maps
Xiaolin Zhang
Yunchao Wei
Yi Yang
Leilei Gan
WSOL
79
29
0
09 Jun 2020
Graph-based Visual-Semantic Entanglement Network for Zero-shot Image
  Recognition
Graph-based Visual-Semantic Entanglement Network for Zero-shot Image Recognition
Yang Hu
Guihua Wen
Adriane P. Chapman
Pei Yang
Mingnan Luo
Yingxue Xu
Dan Dai
Wendy Hall
83
18
0
08 Jun 2020
BS-Net: learning COVID-19 pneumonia severity on a large Chest X-Ray
  dataset
BS-Net: learning COVID-19 pneumonia severity on a large Chest X-Ray dataset
A. Signoroni
Mattia Savardi
Sergio Benini
Nicola Adami
R. Leonardi
...
F. Vaccher
M. Ravanelli
A. Borghesi
R. Maroldi
D. Farina
92
37
0
08 Jun 2020
EnK: Encoding time-information in convolution
EnK: Encoding time-information in convolution
Avinash Kumar Singh
Chin-Teng Lin
19
1
0
07 Jun 2020
UMLS-ChestNet: A deep convolutional neural network for radiological
  findings, differential diagnoses and localizations of COVID-19 in chest
  x-rays
UMLS-ChestNet: A deep convolutional neural network for radiological findings, differential diagnoses and localizations of COVID-19 in chest x-rays
G. González
A. Bustos
J. M. Salinas
M. Iglesia-Vayá
J. Galant
Carlos Cano-Espinosa
X. Barber
Domingo Orozco-Beltrán
M. Cazorla
A. Pertusa
109
7
0
06 Jun 2020
Black-box Explanation of Object Detectors via Saliency Maps
Black-box Explanation of Object Detectors via Saliency Maps
Vitali Petsiuk
R. Jain
Varun Manjunatha
Vlad I. Morariu
Ashutosh Mehra
Vicente Ordonez
Kate Saenko
FAtt
66
125
0
05 Jun 2020
Location, location, location: Satellite image-based real-estate
  appraisal
Location, location, location: Satellite image-based real-estate appraisal
Jan-Peter Kucklick
Oliver Müller
30
5
0
04 Jun 2020
XGNN: Towards Model-Level Explanations of Graph Neural Networks
XGNN: Towards Model-Level Explanations of Graph Neural Networks
Haonan Yuan
Jiliang Tang
Helen Zhou
Shuiwang Ji
105
401
0
03 Jun 2020
Exploration of Interpretability Techniques for Deep COVID-19
  Classification using Chest X-ray Images
Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images
S. Chatterjee
Fatima Saad
Chompunuch Sarasaen
Suhita Ghosh
Valerie Krug
...
Petia Radeva
G. Rose
Sebastian Stober
Oliver Speck
A. Nürnberger
104
26
0
03 Jun 2020
CT-based COVID-19 Triage: Deep Multitask Learning Improves Joint
  Identification and Severity Quantification
CT-based COVID-19 Triage: Deep Multitask Learning Improves Joint Identification and Severity Quantification
M. Goncharov
Maxim Pisov
A. Shevtsov
B. Shirokikh
Anvar Kurmukov
...
V. Chernina
A. Solovev
V. Gombolevskiy
S. Morozov
Mikhail Belyaev
OOD
45
76
0
02 Jun 2020
COVIDGR dataset and COVID-SDNet methodology for predicting COVID-19
  based on Chest X-Ray images
COVIDGR dataset and COVID-SDNet methodology for predicting COVID-19 based on Chest X-Ray images
Siham Tabik
A. Gómez-Ríos
J. L. Martín-Rodríguez
I. Sevillano-García
M. Rey-Area
...
J. Luengo
M. A. Valero-González
P. García-Villanova
E. Olmedo-Sánchez
Francisco Herrera
65
272
0
02 Jun 2020
A Comprehensive Study of Data Augmentation Strategies for Prostate
  Cancer Detection in Diffusion-weighted MRI using Convolutional Neural
  Networks
A Comprehensive Study of Data Augmentation Strategies for Prostate Cancer Detection in Diffusion-weighted MRI using Convolutional Neural Networks
Ruqian Hao
Khashayar Namdar
Lin Liu
M. Haider
Farzad Khalvati
MedIm
38
60
0
01 Jun 2020
Explainable Artificial Intelligence: a Systematic Review
Explainable Artificial Intelligence: a Systematic Review
Giulia Vilone
Luca Longo
XAI
110
271
0
29 May 2020
Automatic Diagnosis of Pulmonary Embolism Using an Attention-guided
  Framework: A Large-scale Study
Automatic Diagnosis of Pulmonary Embolism Using an Attention-guided Framework: A Large-scale Study
Luyao Shi
Deepta Rajan
Shafiq Abedin
Srikar Yellapragada
David Beymer
E. Dehghan
59
18
0
29 May 2020
Towards Context-Agnostic Learning Using Synthetic Data
Towards Context-Agnostic Learning Using Synthetic Data
Charles Jin
Martin Rinard
OOD
113
1
0
29 May 2020
Exploring Spatial Significance via Hybrid Pyramidal Graph Network for
  Vehicle Re-identification
Exploring Spatial Significance via Hybrid Pyramidal Graph Network for Vehicle Re-identification
Fei Shen
Jianqing Zhu
Xiaobin Zhu
Yi Xie
Jingchang Huang
82
98
0
29 May 2020
A Performance-Explainability Framework to Benchmark Machine Learning
  Methods: Application to Multivariate Time Series Classifiers
A Performance-Explainability Framework to Benchmark Machine Learning Methods: Application to Multivariate Time Series Classifiers
Kevin Fauvel
Véronique Masson
Elisa Fromont
AI4TS
77
17
0
29 May 2020
Not made for each other- Audio-Visual Dissonance-based Deepfake
  Detection and Localization
Not made for each other- Audio-Visual Dissonance-based Deepfake Detection and Localization
Komal Chugh
Parul Gupta
Abhinav Dhall
Ramanathan Subramanian
92
174
0
29 May 2020
Multimodal Feature Fusion and Knowledge-Driven Learning via Experts
  Consult for Thyroid Nodule Classification
Multimodal Feature Fusion and Knowledge-Driven Learning via Experts Consult for Thyroid Nodule Classification
D. Avola
Luigi Cinque
Alessio Fagioli
S. Filetti
G. Grani
Emanuele Rodolà
63
39
0
28 May 2020
Explainable deep learning models in medical image analysis
Explainable deep learning models in medical image analysis
Amitojdeep Singh
S. Sengupta
Vasudevan Lakshminarayanan
XAI
97
502
0
28 May 2020
Explaining Neural Networks by Decoding Layer Activations
Explaining Neural Networks by Decoding Layer Activations
Johannes Schneider
Michalis Vlachos
AI4CE
86
15
0
27 May 2020
Local Motion Planner for Autonomous Navigation in Vineyards with a RGB-D
  Camera-Based Algorithm and Deep Learning Synergy
Local Motion Planner for Autonomous Navigation in Vineyards with a RGB-D Camera-Based Algorithm and Deep Learning Synergy
Diego Aghi
Vittorio Mazzia
Marcello Chiaberge
51
53
0
26 May 2020
Integrating Deep Learning into CAD/CAE System: Generative Design and
  Evaluation of 3D Conceptual Wheel
Integrating Deep Learning into CAD/CAE System: Generative Design and Evaluation of 3D Conceptual Wheel
Soyoung Yoo
Sunghee Lee
Seongsin Kim
Kwang Hyeon Hwang
Jong Ho Park
Namwoo Kang
AI4CE
57
110
0
25 May 2020
Rethinking of Pedestrian Attribute Recognition: Realistic Datasets with
  Efficient Method
Rethinking of Pedestrian Attribute Recognition: Realistic Datasets with Efficient Method
Jian Jia
Houjing Huang
Wenjie Yang
Xiaotang Chen
Kaiqi Huang
88
44
0
25 May 2020
One-Shot Unsupervised Cross-Domain Detection
One-Shot Unsupervised Cross-Domain Detection
A. DÍnnocente
Francesco Cappio Borlino
S. Bucci
Barbara Caputo
Tatiana Tommasi
ObjD
74
33
0
23 May 2020
Revisiting Street-to-Aerial View Image Geo-localization and Orientation
  Estimation
Revisiting Street-to-Aerial View Image Geo-localization and Orientation Estimation
Sijie Zhu
Taojiannan Yang
Chong Chen
64
61
0
23 May 2020
Deep Learning for Reliable Classification of COVID-19, MERS, and SARS
  from Chest X-Ray Images
Deep Learning for Reliable Classification of COVID-19, MERS, and SARS from Chest X-Ray Images
Anas Tahir
Yazan Qiblawey
Amith Khandakar
Tawsifur Rahman
U. Khurshid
F. Musharavati
M. T. Islam
S. Kiranyaz
M. Chowdhury
92
50
0
23 May 2020
Focus Longer to See Better:Recursively Refined Attention for
  Fine-Grained Image Classification
Focus Longer to See Better:Recursively Refined Attention for Fine-Grained Image Classification
Prateek Shroff
Tianlong Chen
Yunchao Wei
Zhangyang Wang
36
12
0
22 May 2020
Interpretable and Accurate Fine-grained Recognition via Region Grouping
Interpretable and Accurate Fine-grained Recognition via Region Grouping
Zixuan Huang
Yin Li
81
141
0
21 May 2020
The Skincare project, an interactive deep learning system for
  differential diagnosis of malignant skin lesions. Technical Report
The Skincare project, an interactive deep learning system for differential diagnosis of malignant skin lesions. Technical Report
Daniel Sonntag
Fabrizio Nunnari
H. Profitlich
66
12
0
19 May 2020
Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot
  Learning
Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot Learning
Jia-Fong Yeh
Hsin-Ying Lee
Bing-Chen Tsai
Yi-Rong Chen
Ping Huang
Winston H. Hsu
75
14
0
19 May 2020
Retrieving and Highlighting Action with Spatiotemporal Reference
Retrieving and Highlighting Action with Spatiotemporal Reference
Seito Kasai
Yuchi Ishikawa
Masaki Hayashi
Y. Aoki
Kensho Hara
Hirokatsu Kataoka
90
0
0
19 May 2020
Local and Global Explanations of Agent Behavior: Integrating Strategy
  Summaries with Saliency Maps
Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency Maps
Tobias Huber
Katharina Weitz
Elisabeth André
Ofra Amir
FAtt
77
67
0
18 May 2020
Hierarchical and Efficient Learning for Person Re-Identification
Hierarchical and Efficient Learning for Person Re-Identification
Jiangning Zhang
Lu Liu
Chao Xu
Yong Liu
3DH
21
3
0
18 May 2020
Single-participant structural connectivity matrices lead to greater
  accuracy in classification of participants than function in autism in MRI
Single-participant structural connectivity matrices lead to greater accuracy in classification of participants than function in autism in MRI
M. Leming
S. Baron-Cohen
J. Suckling
6
0
0
16 May 2020
Project RISE: Recognizing Industrial Smoke Emissions
Project RISE: Recognizing Industrial Smoke Emissions
Yen-Chia Hsu
Ting-Hao 'Kenneth' Huang
Ting-Yao Hu
P. Dille
Sean Prendi
Ryan N. Hoffman
Anastasia Tsuhlares
Jessica Pachuta
Randy Sargent
I. Nourbakhsh
58
19
0
13 May 2020
3D Face Anti-spoofing with Factorized Bilinear Coding
3D Face Anti-spoofing with Factorized Bilinear Coding
Shan Jia
Xin Li
Chuanbo Hu
G. Guo
Zhengquan Xu
CVBMAAML
94
50
0
12 May 2020
Incremental Learning for End-to-End Automatic Speech Recognition
Incremental Learning for End-to-End Automatic Speech Recognition
Li Fu
Xiaoxiao Li
Libo Zi
Zhengchen Zhang
Youzheng Wu
Xiaodong He
Bowen Zhou
CLL
92
23
0
11 May 2020
Attentional Bottleneck: Towards an Interpretable Deep Driving Network
Attentional Bottleneck: Towards an Interpretable Deep Driving Network
Jinkyu Kim
Mayank Bansal
94
13
0
08 May 2020
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