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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 / 5,309 papers shown
Title
Streamlining models with explanations in the learning loop
Streamlining models with explanations in the learning loop
Francesco Lomuscio
P. Bajardi
Alan Perotti
E. Amparore
FAtt
82
0
0
15 Feb 2023
The Meta-Evaluation Problem in Explainable AI: Identifying Reliable
  Estimators with MetaQuantus
The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus
Anna Hedström
P. Bommer
Kristoffer K. Wickstrom
Wojciech Samek
Sebastian Lapuschkin
Marina M.-C. Höhne
106
21
0
14 Feb 2023
On The Coherence of Quantitative Evaluation of Visual Explanations
On The Coherence of Quantitative Evaluation of Visual Explanations
Benjamin Vandersmissen
José Oramas
XAIFAtt
81
4
0
14 Feb 2023
SEAM: Searching Transferable Mixed-Precision Quantization Policy through
  Large Margin Regularization
SEAM: Searching Transferable Mixed-Precision Quantization Policy through Large Margin Regularization
Chen Tang
Kai Ouyang
Zenghao Chai
Yunpeng Bai
Yuan Meng
Zhi Wang
Wenwu Zhu
MQ
79
9
0
14 Feb 2023
Deep Learning Predicts Prevalent and Incident Parkinson's Disease From
  UK Biobank Fundus Imaging
Deep Learning Predicts Prevalent and Incident Parkinson's Disease From UK Biobank Fundus Imaging
Charlie Tran
Kaitlyn M. Shen
Ke Liu
Akshay Ashok
Adolfo Ramirez-Zamora
Jinghua Chen
Yulin Li
Ruogu Fang
22
22
0
13 Feb 2023
Explainable Anomaly Detection in Images and Videos: A Survey
Explainable Anomaly Detection in Images and Videos: A Survey
Yizhou Wang
Dongliang Guo
Sheng Li
Octavia Camps
Yun Fu
118
6
0
13 Feb 2023
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed
  on AI-based Recruitment
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-based Recruitment
Alejandro Peña
Ignacio Serna
Aythami Morales
Julian Fierrez
Alfonso Ortega
Ainhoa Herrarte
Manuel Alcántara
J. Ortega-Garcia
FaML
100
38
0
13 Feb 2023
Semantic Image Segmentation: Two Decades of Research
Semantic Image Segmentation: Two Decades of Research
G. Csurka
Riccardo Volpi
Boris Chidlovskii
3DV
94
53
0
13 Feb 2023
An Order-Invariant and Interpretable Hierarchical Dilated Convolution
  Neural Network for Chemical Fault Detection and Diagnosis
An Order-Invariant and Interpretable Hierarchical Dilated Convolution Neural Network for Chemical Fault Detection and Diagnosis
Mengxuan Li
Peng Peng
Min Wang
Hongwei Wang
45
12
0
13 Feb 2023
Semantic Feature Integration network for Fine-grained Visual
  Classification
Semantic Feature Integration network for Fine-grained Visual Classification
Haibo Wang
Yueyang Li
Haichi Luo
75
0
0
13 Feb 2023
Stochastic Surprisal: An inferential measurement of Free Energy in
  Neural Networks
Stochastic Surprisal: An inferential measurement of Free Energy in Neural Networks
Mohit Prabhushankar
Ghassan Al-Regib
51
3
0
11 Feb 2023
Explaining text classifiers through progressive neighborhood
  approximation with realistic samples
Explaining text classifiers through progressive neighborhood approximation with realistic samples
Yi Cai
Arthur Zimek
Eirini Ntoutsi
Gerhard Wunder
AI4TS
74
0
0
11 Feb 2023
Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis
Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis
Zhu Wang
Sourav Medya
Sathya Ravi
VLM
90
0
0
11 Feb 2023
SOCRATES: Text-based Human Search and Approach using a Robot Dog
SOCRATES: Text-based Human Search and Approach using a Robot Dog
Jeongeun Park
Jefferson Silveria
Matthew K. X. J. Pan
Sungjoon Choi
44
0
0
10 Feb 2023
Artificial Intelligence System for Detection and Screening of Cardiac
  Abnormalities using Electrocardiogram Images
Artificial Intelligence System for Detection and Screening of Cardiac Abnormalities using Electrocardiogram Images
Deyun Zhang
Shijia Geng
Yang Zhou
Wei-Zhao Xu
Guodong Wei
...
Tong Liu
Kangyin Chen
Chenyang Jiang
Xingpeng Liu
linda Qiao
39
6
0
10 Feb 2023
Mithridates: Auditing and Boosting Backdoor Resistance of Machine
  Learning Pipelines
Mithridates: Auditing and Boosting Backdoor Resistance of Machine Learning Pipelines
Eugene Bagdasaryan
Vitaly Shmatikov
AAML
102
2
0
09 Feb 2023
Imperceptible Sample-Specific Backdoor to DNN with Denoising Autoencoder
Imperceptible Sample-Specific Backdoor to DNN with Denoising Autoencoder
Jiliang Zhang
Jing Xu
Zhi-Li Zhang
Yansong Gao
AAML
71
2
0
09 Feb 2023
On Function-Coupled Watermarks for Deep Neural Networks
On Function-Coupled Watermarks for Deep Neural Networks
Xiangyu Wen
Yu Li
Weizhen Jiang
Qian-Lan Xu
AAML
71
1
0
08 Feb 2023
PAMI: partition input and aggregate outputs for model interpretation
PAMI: partition input and aggregate outputs for model interpretation
Wei Shi
Wentao Zhang
Weishi Zheng
Ruixuan Wang
FAtt
125
3
0
07 Feb 2023
Fine-grained Affordance Annotation for Egocentric Hand-Object
  Interaction Videos
Fine-grained Affordance Annotation for Egocentric Hand-Object Interaction Videos
Zecheng Yu
Yifei Huang
Ryosuke Furuta
Takuma Yagi
Yusuke Goutsu
Yoichi Sato
EgoV
54
12
0
07 Feb 2023
Efficient XAI Techniques: A Taxonomic Survey
Efficient XAI Techniques: A Taxonomic Survey
Yu-Neng Chuang
Guanchu Wang
Fan Yang
Zirui Liu
Xuanting Cai
Mengnan Du
Helen Zhou
74
34
0
07 Feb 2023
Scaling Vision-based End-to-End Driving with Multi-View Attention
  Learning
Scaling Vision-based End-to-End Driving with Multi-View Attention Learning
Yi Xiao
Felipe Codevilla
Diego Porres
Antonio M. López
VLM
59
4
0
07 Feb 2023
Understanding User Preferences in Explainable Artificial Intelligence: A
  Survey and a Mapping Function Proposal
Understanding User Preferences in Explainable Artificial Intelligence: A Survey and a Mapping Function Proposal
M. Hashemi
Ali Darejeh
Francisco Cruz
77
3
0
07 Feb 2023
LAVA: Granular Neuron-Level Explainable AI for Alzheimer's Disease
  Assessment from Fundus Images
LAVA: Granular Neuron-Level Explainable AI for Alzheimer's Disease Assessment from Fundus Images
Nooshin Yousefzadeh
Charlie Tran
Adolfo Ramirez-Zamora
Jinghua Chen
R. Fang
My T. Thai
47
1
0
06 Feb 2023
Learning disentangled representations for explainable chest X-ray
  classification using Dirichlet VAEs
Learning disentangled representations for explainable chest X-ray classification using Dirichlet VAEs
Rachael Harkness
Alejandro F Frangi
K. Zucker
Nishant Ravikumar
CMLCoGe
30
4
0
06 Feb 2023
Variational Information Pursuit for Interpretable Predictions
Variational Information Pursuit for Interpretable Predictions
Aditya Chattopadhyay
Kwan Ho Ryan Chan
B. Haeffele
D. Geman
René Vidal
DRL
106
14
0
06 Feb 2023
Stop overkilling simple tasks with black-box models and use transparent models instead
Matteo Rizzo
Matteo Marcuzzo
A. Zangari
A. Gasparetto
A. Albarelli
VLM
66
1
0
06 Feb 2023
AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks
  against Interpretable Models
AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Interpretable Models
Abdullah Çaglar Öksüz
Anisa Halimi
Erman Ayday
ELMAAML
70
3
0
04 Feb 2023
This Intestine Does Not Exist: Multiscale Residual Variational
  Autoencoder for Realistic Wireless Capsule Endoscopy Image Generation
This Intestine Does Not Exist: Multiscale Residual Variational Autoencoder for Realistic Wireless Capsule Endoscopy Image Generation
Dimitrios E. Diamantis
Panagiota Gatoula
Anastasios Koulaouzidis
D. Iakovidis
MedIm
89
6
0
04 Feb 2023
SoK: A Systematic Evaluation of Backdoor Trigger Characteristics in
  Image Classification
SoK: A Systematic Evaluation of Backdoor Trigger Characteristics in Image Classification
Gorka Abad
Jing Xu
Stefanos Koffas
Behrad Tajalli
S. Picek
Mauro Conti
AAML
116
6
0
03 Feb 2023
AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge
AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge
Coen de Vente
Koen A. Vermeer
Nicolas Jaccard
He Wang
Hongyi Sun
...
Abdul Qayyum
Imran Razzak
Bram van Ginneken
H. Lemij
Clara I. Sánchez
129
57
0
03 Feb 2023
Cluster-CAM: Cluster-Weighted Visual Interpretation of CNNs' Decision in
  Image Classification
Cluster-CAM: Cluster-Weighted Visual Interpretation of CNNs' Decision in Image Classification
Zhenpeng Feng
H. Ji
M. Daković
Xiyang Cui
Mingzhe Zhu
Ljubisa Stankovic
72
8
0
03 Feb 2023
SCCAM: Supervised Contrastive Convolutional Attention Mechanism for
  Ante-hoc Interpretable Fault Diagnosis with Limited Fault Samples
SCCAM: Supervised Contrastive Convolutional Attention Mechanism for Ante-hoc Interpretable Fault Diagnosis with Limited Fault Samples
Mengxuan Li
Peng Peng
Jingxin Zhang
Hongwei Wang
Nong Sang
76
20
0
03 Feb 2023
Simple, Effective and General: A New Backbone for Cross-view Image
  Geo-localization
Simple, Effective and General: A New Backbone for Cross-view Image Geo-localization
Yingying Zhu
Hongji Yang
Yuxin Lu
Qiang Huang
56
35
0
03 Feb 2023
Class Overwhelms: Mutual Conditional Blended-Target Domain Adaptation
Class Overwhelms: Mutual Conditional Blended-Target Domain Adaptation
P. Xu
Boyu Wang
Charles Ling
91
6
0
03 Feb 2023
Neural Insights for Digital Marketing Content Design
Neural Insights for Digital Marketing Content Design
F. Kong
Yuan Li
Houssam Nassif
Tanner Fiez
Ricardo Henao
Shreya Chakrabarti
3DV
58
12
0
02 Feb 2023
Visual Imitation Learning with Patch Rewards
Visual Imitation Learning with Patch Rewards
Minghuan Liu
Tairan He
Weinan Zhang
Shuicheng Yan
Zhongwen Xu
SSL
90
14
0
02 Feb 2023
Stable Attribute Group Editing for Reliable Few-shot Image Generation
Stable Attribute Group Editing for Reliable Few-shot Image Generation
Guanqi Ding
Xinzhe Han
Shuhui Wang
Xin Jin
Dandan Tu
Qingming Huang
76
9
0
01 Feb 2023
Salient Conditional Diffusion for Defending Against Backdoor Attacks
Salient Conditional Diffusion for Defending Against Backdoor Attacks
Brandon B. May
N. Joseph Tatro
Dylan Walker
Piyush Kumar
N. Shnidman
DiffM
64
8
0
31 Jan 2023
Supporting Safety Analysis of Image-processing DNNs through
  Clustering-based Approaches
Supporting Safety Analysis of Image-processing DNNs through Clustering-based Approaches
M. Attaoui
Hazem M. Fahmy
F. Pastore
Lionel C. Briand
AI4CE
60
5
0
31 Jan 2023
A Survey of Explainable AI in Deep Visual Modeling: Methods and Metrics
A Survey of Explainable AI in Deep Visual Modeling: Methods and Metrics
Naveed Akhtar
XAIVLM
67
7
0
31 Jan 2023
GaitSADA: Self-Aligned Domain Adaptation for mmWave Gait Recognition
GaitSADA: Self-Aligned Domain Adaptation for mmWave Gait Recognition
Ekkasit Pinyoanuntapong
Ayman Ali
Kalvik Jakkala
Pu Wang
Minwoo Lee
Qucheng Peng
Chong Chen
Tsinghua University
CVBM
31
5
0
31 Jan 2023
Overcoming Simplicity Bias in Deep Networks using a Feature Sieve
Overcoming Simplicity Bias in Deep Networks using a Feature Sieve
Rishabh Tiwari
Pradeep Shenoy
148
22
0
30 Jan 2023
Audio-Visual Segmentation with Semantics
Audio-Visual Segmentation with Semantics
Jinxing Zhou
Xuyang Shen
Jianyuan Wang
Jiayi Zhang
Weixuan Sun
...
Stan Birchfield
Dan Guo
Lingpeng Kong
Meng Wang
Yiran Zhong
VOS
98
43
0
30 Jan 2023
ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object
  Navigation
ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation
KAI-QING Zhou
Kai Zheng
Connor Pryor
Yilin Shen
Hongxia Jin
Lise Getoor
Xinze Wang
128
118
0
30 Jan 2023
Equivariant Differentially Private Deep Learning: Why DP-SGD Needs
  Sparser Models
Equivariant Differentially Private Deep Learning: Why DP-SGD Needs Sparser Models
Florian A. Hölzl
Daniel Rueckert
Georgios Kaissis
93
4
0
30 Jan 2023
Half of an image is enough for quality assessment
Half of an image is enough for quality assessment
Junyong You
Yuan Lin
J. Korhonen
87
2
0
30 Jan 2023
NeSyFOLD: Neurosymbolic Framework for Interpretable Image Classification
NeSyFOLD: Neurosymbolic Framework for Interpretable Image Classification
Parth Padalkar
Huaduo Wang
Gopal Gupta
61
2
0
30 Jan 2023
Semantic Adversarial Attacks on Face Recognition through Significant
  Attributes
Semantic Adversarial Attacks on Face Recognition through Significant Attributes
Yasmeen M. Khedr
Yifeng Xiong
Kun He
AAML
76
2
0
28 Jan 2023
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts
Mikolaj Sacha
Dawid Rymarczyk
Lukasz Struski
Jacek Tabor
Bartosz Zieliñski
VLM
109
30
0
28 Jan 2023
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