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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 / 5,303 papers shown
Title
There and Back Again: Revisiting Backpropagation Saliency Methods
There and Back Again: Revisiting Backpropagation Saliency Methods
Sylvestre-Alvise Rebuffi
Ruth C. Fong
Xu Ji
Andrea Vedaldi
FAttXAI
68
113
0
06 Apr 2020
Attribute Mix: Semantic Data Augmentation for Fine Grained Recognition
Attribute Mix: Semantic Data Augmentation for Fine Grained Recognition
Hao Li
Xiaopeng Zhang
H. Xiong
Qi Tian
71
41
0
06 Apr 2020
Coronavirus Detection and Analysis on Chest CT with Deep Learning
Coronavirus Detection and Analysis on Chest CT with Deep Learning
Ophir Gozes
Maayan Frid-Adar
Nimrod Sagie
Huangqi Zhang
W.-B. Ji
H. Greenspan
59
113
0
06 Apr 2020
BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time
  Semantic Segmentation
BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation
Changqian Yu
Changxin Gao
Jingbo Wang
Gang Yu
Chunhua Shen
Nong Sang
SSeg
111
1,231
0
05 Apr 2020
Group Based Deep Shared Feature Learning for Fine-grained Image
  Classification
Group Based Deep Shared Feature Learning for Fine-grained Image Classification
Xuelu Li
V. Monga
46
11
0
04 Apr 2020
Attribution in Scale and Space
Attribution in Scale and Space
Shawn Xu
Subhashini Venugopalan
Mukund Sundararajan
FAttBDL
60
72
0
03 Apr 2020
Under the Hood of Neural Networks: Characterizing Learned
  Representations by Functional Neuron Populations and Network Ablations
Under the Hood of Neural Networks: Characterizing Learned Representations by Functional Neuron Populations and Network Ablations
Richard Meyes
Constantin Waubert de Puiseau
Andres Felipe Posada-Moreno
Tobias Meisen
AI4CE
78
22
0
02 Apr 2020
NBDT: Neural-Backed Decision Trees
NBDT: Neural-Backed Decision Trees
Alvin Wan
Lisa Dunlap
Daniel Ho
Jihan Yin
Scott Lee
Henry Jin
Suzanne Petryk
Sarah Adel Bargal
Joseph E. Gonzalez
68
105
0
01 Apr 2020
Ontology-based Interpretable Machine Learning for Textual Data
Ontology-based Interpretable Machine Learning for Textual Data
Phung Lai
Nhathai Phan
Han Hu
Anuja Badeti
David Newman
Dejing Dou
21
8
0
01 Apr 2020
Explaining Motion Relevance for Activity Recognition in Video Deep
  Learning Models
Explaining Motion Relevance for Activity Recognition in Video Deep Learning Models
Liam Hiley
Alun D. Preece
Y. Hicks
Supriyo Chakraborty
Prudhvi K. Gurram
Richard J. Tomsett
FAtt
90
15
0
31 Mar 2020
Continual Learning with Node-Importance based Adaptive Group Sparse
  Regularization
Continual Learning with Node-Importance based Adaptive Group Sparse Regularization
Sangwon Jung
Hongjoon Ahn
Sungmin Cha
Taesup Moon
CLL
88
128
0
30 Mar 2020
Improving out-of-distribution generalization via multi-task
  self-supervised pretraining
Improving out-of-distribution generalization via multi-task self-supervised pretraining
Isabela Albuquerque
Nikhil Naik
Junnan Li
N. Keskar
R. Socher
SSLOOD
90
40
0
30 Mar 2020
Towards Deep Learning Models Resistant to Large Perturbations
Towards Deep Learning Models Resistant to Large Perturbations
Amirreza Shaeiri
Rozhin Nobahari
M. Rohban
OODAAML
81
12
0
30 Mar 2020
Learning a Weakly-Supervised Video Actor-Action Segmentation Model with
  a Wise Selection
Learning a Weakly-Supervised Video Actor-Action Segmentation Model with a Wise Selection
Jie Chen
Zhiheng Li
Jiebo Luo
Chenliang Xu
52
13
0
29 Mar 2020
Convolutional Spiking Neural Networks for Spatio-Temporal Feature
  Extraction
Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction
Alireza Samadzadeh
Fatemeh Sadat Tabatabaei Far
Ali Javadi
A. Nickabadi
M. Chehreghani
109
54
0
27 Mar 2020
Viral Pneumonia Screening on Chest X-ray Images Using Confidence-Aware
  Anomaly Detection
Viral Pneumonia Screening on Chest X-ray Images Using Confidence-Aware Anomaly Detection
Jianpeng Zhang
Yutong Xie
Guansong Pang
Zhibin Liao
Johan Verjans
...
Zongji Sun
Jian He
Yi Li
Chunhua Shen
Yong-quan Xia
64
446
0
27 Mar 2020
Neural encoding and interpretation for high-level visual cortices based
  on fMRI using image caption features
Neural encoding and interpretation for high-level visual cortices based on fMRI using image caption features
Kai Qiao
Chi Zhang
Jian Chen
Linyuan Wang
Li Tong
Bin Yan
21
3
0
26 Mar 2020
A Survey of Deep Learning for Scientific Discovery
A Survey of Deep Learning for Scientific Discovery
M. Raghu
Erica Schmidt
OODAI4CE
179
123
0
26 Mar 2020
Dividing Deep Learning Model for Continuous Anomaly Detection of
  Inconsistent ICT Systems
Dividing Deep Learning Model for Continuous Anomaly Detection of Inconsistent ICT Systems
Kengo Tajiri
Yasuhiro Ikeda
Yuusuke Nakano
Keishiro Watanabe
13
1
0
24 Mar 2020
Bridge the Domain Gap Between Ultra-wide-field and Traditional Fundus
  Images via Adversarial Domain Adaptation
Bridge the Domain Gap Between Ultra-wide-field and Traditional Fundus Images via Adversarial Domain Adaptation
Lie Ju
Xin Wang
Quan-Gen Zhou
Hu Zhu
Mehrtash Harandi
Paul Bonnington
Tom Drummond
Zongyuan Ge
MedIm
78
7
0
23 Mar 2020
COVID-Net: A Tailored Deep Convolutional Neural Network Design for
  Detection of COVID-19 Cases from Chest X-Ray Images
COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images
Linda Wang
A. Wong
OOD
178
2,515
0
22 Mar 2020
Explainable Object-induced Action Decision for Autonomous Vehicles
Explainable Object-induced Action Decision for Autonomous Vehicles
Yiran Xu
Xiaoyin Yang
Lihang Gong
Hsuan-Chu Lin
Tz-Ying Wu
Yunsheng Li
Nuno Vasconcelos
75
112
0
20 Mar 2020
Few-Shot Learning with Geometric Constraints
Few-Shot Learning with Geometric Constraints
Hong G Jung
Seong-Whan Lee
73
49
0
20 Mar 2020
Weakly Supervised PET Tumor Detection Using Class Response
Weakly Supervised PET Tumor Detection Using Class Response
Amine Amyar
R. Modzelewski
P. Vera
V. Morard
S. Ruan
MedIm
54
5
0
18 Mar 2020
Multi-task Learning with Coarse Priors for Robust Part-aware Person
  Re-identification
Multi-task Learning with Coarse Priors for Robust Part-aware Person Re-identification
Changxing Ding
Kan Wang
Pengfei Wang
Dacheng Tao
95
65
0
18 Mar 2020
Explaining Deep Neural Networks and Beyond: A Review of Methods and
  Applications
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications
Wojciech Samek
G. Montavon
Sebastian Lapuschkin
Christopher J. Anders
K. Müller
XAI
141
83
0
17 Mar 2020
SlimConv: Reducing Channel Redundancy in Convolutional Neural Networks
  by Weights Flipping
SlimConv: Reducing Channel Redundancy in Convolutional Neural Networks by Weights Flipping
Jiaxiong Qiu
Cai Chen
Shuaicheng Liu
B. Zeng
113
41
0
16 Mar 2020
Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAI
Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAI
L. Arras
Ahmed Osman
Wojciech Samek
XAIAAML
97
157
0
16 Mar 2020
Self-Supervised Discovering of Interpretable Features for Reinforcement
  Learning
Self-Supervised Discovering of Interpretable Features for Reinforcement Learning
Wenjie Shi
Gao Huang
Shiji Song
Zhuoyuan Wang
Tingyu Lin
Cheng Wu
SSL
76
18
0
16 Mar 2020
GMM-UNIT: Unsupervised Multi-Domain and Multi-Modal Image-to-Image
  Translation via Attribute Gaussian Mixture Modeling
GMM-UNIT: Unsupervised Multi-Domain and Multi-Modal Image-to-Image Translation via Attribute Gaussian Mixture Modeling
Yahui Liu
Marco De Nadai
Jian Yao
N. Sebe
Bruno Lepri
Xavier Alameda-Pineda
88
26
0
15 Mar 2020
Counterfactual Samples Synthesizing for Robust Visual Question Answering
Counterfactual Samples Synthesizing for Robust Visual Question Answering
Long Chen
Xin Yan
Jun Xiao
Hanwang Zhang
Shiliang Pu
Yueting Zhuang
OODAAML
219
294
0
14 Mar 2020
Explainable Deep Classification Models for Domain Generalization
Explainable Deep Classification Models for Domain Generalization
Andrea Zunino
Sarah Adel Bargal
Riccardo Volpi
M. Sameki
Jianming Zhang
Stan Sclaroff
Vittorio Murino
Kate Saenko
FAtt
70
40
0
13 Mar 2020
Building and Interpreting Deep Similarity Models
Building and Interpreting Deep Similarity Models
Oliver Eberle
Jochen Büttner
Florian Kräutli
K. Müller
Matteo Valleriani
G. Montavon
73
59
0
11 Mar 2020
xCos: An Explainable Cosine Metric for Face Verification Task
xCos: An Explainable Cosine Metric for Face Verification Task
Yu-sheng Lin
Zhe-Yu Liu
Yu-An Chen
Yu-Siang Wang
Ya-Liang Chang
Winston H. Hsu
CVBM
63
46
0
11 Mar 2020
A Computer-Aided Diagnosis System Using Artificial Intelligence for Hip
  Fractures -Multi-Institutional Joint Development Research-
A Computer-Aided Diagnosis System Using Artificial Intelligence for Hip Fractures -Multi-Institutional Joint Development Research-
Yoichi Sato
Yasuhiko Takegami
Takamune Asamoto
Yutaro Ono
Tsugeno Hidetoshi
Ryosuke Goto
Asahi Kitamura
Seiwa Honda
MedImAI4CEOOD
10
3
0
11 Mar 2020
Rapid AI Development Cycle for the Coronavirus (COVID-19) Pandemic:
  Initial Results for Automated Detection & Patient Monitoring using Deep
  Learning CT Image Analysis
Rapid AI Development Cycle for the Coronavirus (COVID-19) Pandemic: Initial Results for Automated Detection & Patient Monitoring using Deep Learning CT Image Analysis
Ophir Gozes
Maayan Frid-Adar
H. Greenspan
P. Browning
Huangqi Zhang
W.-B. Ji
Adam Bernheim
E. Siegel
OOD
111
801
0
10 Mar 2020
GPCA: A Probabilistic Framework for Gaussian Process Embedded Channel
  Attention
GPCA: A Probabilistic Framework for Gaussian Process Embedded Channel Attention
Jiyang Xie
Dongliang Chang
Zhanyu Ma
Guoqiang Zhang
Jun Guo
68
25
0
10 Mar 2020
Cross modal video representations for weakly supervised active speaker
  localization
Cross modal video representations for weakly supervised active speaker localization
Rahul Sharma
Krishna Somandepalli
Shrikanth Narayanan
60
8
0
09 Mar 2020
IROF: a low resource evaluation metric for explanation methods
IROF: a low resource evaluation metric for explanation methods
Laura Rieger
Lars Kai Hansen
68
55
0
09 Mar 2020
Causal Interpretability for Machine Learning -- Problems, Methods and
  Evaluation
Causal Interpretability for Machine Learning -- Problems, Methods and Evaluation
Raha Moraffah
Mansooreh Karami
Ruocheng Guo
A. Raglin
Huan Liu
CMLELMXAI
98
221
0
09 Mar 2020
Dynamic Backdoor Attacks Against Machine Learning Models
Dynamic Backdoor Attacks Against Machine Learning Models
A. Salem
Rui Wen
Michael Backes
Shiqing Ma
Yang Zhang
AAML
147
276
0
07 Mar 2020
Explaining Knowledge Distillation by Quantifying the Knowledge
Explaining Knowledge Distillation by Quantifying the Knowledge
Xu Cheng
Zhefan Rao
Yilan Chen
Quanshi Zhang
81
122
0
07 Mar 2020
TIME: A Transparent, Interpretable, Model-Adaptive and Explainable
  Neural Network for Dynamic Physical Processes
TIME: A Transparent, Interpretable, Model-Adaptive and Explainable Neural Network for Dynamic Physical Processes
Gurpreet Singh
Soumyajit Gupta
Matt Lease
Clint Dawson
AI4TSAI4CE
24
2
0
05 Mar 2020
Transformation Importance with Applications to Cosmology
Transformation Importance with Applications to Cosmology
Chandan Singh
Wooseok Ha
F. Lanusse
V. Boehm
Jia-Wei Liu
Bin Yu
AI4CE
62
11
0
04 Mar 2020
A Question-Centric Model for Visual Question Answering in Medical
  Imaging
A Question-Centric Model for Visual Question Answering in Medical Imaging
Minh H. Vu
Tommy Löfstedt
T. Nyholm
Raphael Sznitman
MedIm
76
61
0
02 Mar 2020
Deep Attention Aware Feature Learning for Person Re-Identification
Deep Attention Aware Feature Learning for Person Re-Identification
Yifan Chen
Han Wang
Xiaolu Sun
Bin Fan
Chunrui Tang
74
72
0
01 Mar 2020
A Study on Multimodal and Interactive Explanations for Visual Question
  Answering
A Study on Multimodal and Interactive Explanations for Visual Question Answering
Kamran Alipour
J. Schulze
Yi Yao
Avi Ziskind
Giedrius Burachas
64
27
0
01 Mar 2020
The Utility of Feature Reuse: Transfer Learning in Data-Starved Regimes
The Utility of Feature Reuse: Transfer Learning in Data-Starved Regimes
Rashik Shadman
M. G. Sarwar Murshed
E. Verenich
Alvaro Velasquez
Faraz Hussain
40
4
0
29 Feb 2020
FMix: Enhancing Mixed Sample Data Augmentation
FMix: Enhancing Mixed Sample Data Augmentation
Ethan Harris
Antonia Marcu
Matthew Painter
M. Niranjan
Adam Prugel-Bennett
Jonathon S. Hare
AAML
79
26
0
27 Feb 2020
Towards Interpretable Semantic Segmentation via Gradient-weighted Class
  Activation Mapping
Towards Interpretable Semantic Segmentation via Gradient-weighted Class Activation Mapping
Kira Vinogradova
Alexandr Dibrov
E. Myers
FAtt
123
153
0
26 Feb 2020
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