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  4. Cited By
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 / 4,494 papers shown
Title
Mixing-AdaSIN: Constructing a De-biased Dataset using Adaptive
  Structural Instance Normalization and Texture Mixing
Mixing-AdaSIN: Constructing a De-biased Dataset using Adaptive Structural Instance Normalization and Texture Mixing
Myeongkyun Kang
Philip Chikontwe
Miguel Luna
Kyung Soo Hong
J. Ahn
Sang Hyun Park
MedIm
29
2
0
26 Mar 2021
Group-CAM: Group Score-Weighted Visual Explanations for Deep
  Convolutional Networks
Group-CAM: Group Score-Weighted Visual Explanations for Deep Convolutional Networks
Qing-Long Zhang
Lu Rao
Yubin Yang
16
58
0
25 Mar 2021
Explainability Guided Multi-Site COVID-19 CT Classification
Explainability Guided Multi-Site COVID-19 CT Classification
Ameen Ali
Tal Shaharabany
Lior Wolf
36
4
0
25 Mar 2021
Characterizing and Improving the Robustness of Self-Supervised Learning
  through Background Augmentations
Characterizing and Improving the Robustness of Self-Supervised Learning through Background Augmentations
Chaitanya K. Ryali
D. Schwab
Ari S. Morcos
SSL
42
9
0
23 Mar 2021
Contrastive Reasoning in Neural Networks
Contrastive Reasoning in Neural Networks
Mohit Prabhushankar
Ghassan AlRegib
25
10
0
23 Mar 2021
Extracting Causal Visual Features for Limited label Classification
Extracting Causal Visual Features for Limited label Classification
Mohit Prabhushankar
Ghassan AlRegib
CML
27
21
0
23 Mar 2021
IAIA-BL: A Case-based Interpretable Deep Learning Model for
  Classification of Mass Lesions in Digital Mammography
IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography
A. Barnett
F. Schwartz
Chaofan Tao
Chaofan Chen
Yinhao Ren
J. Lo
Cynthia Rudin
36
133
0
23 Mar 2021
Prediction of lung and colon cancer through analysis of
  histopathological images by utilizing Pre-trained CNN models with
  visualization of class activation and saliency maps
Prediction of lung and colon cancer through analysis of histopathological images by utilizing Pre-trained CNN models with visualization of class activation and saliency maps
Satvik Garg
Somya Garg
33
61
0
22 Mar 2021
Data Cleansing for Deep Neural Networks with Storage-efficient
  Approximation of Influence Functions
Data Cleansing for Deep Neural Networks with Storage-efficient Approximation of Influence Functions
Kenji Suzuki
Yoshiyuki Kobayashi
T. Narihira
TDI
31
5
0
22 Mar 2021
SuSketch: Surrogate Models of Gameplay as a Design Assistant
SuSketch: Surrogate Models of Gameplay as a Design Assistant
Panagiotis Migkotzidis
Antonios Liapis
23
13
0
22 Mar 2021
Robust Models Are More Interpretable Because Attributions Look Normal
Robust Models Are More Interpretable Because Attributions Look Normal
Zifan Wang
Matt Fredrikson
Anupam Datta
OOD
FAtt
35
25
0
20 Mar 2021
Computational Emotion Analysis From Images: Recent Advances and Future
  Directions
Computational Emotion Analysis From Images: Recent Advances and Future Directions
Sicheng Zhao
Quanwei Huang
Youbao Tang
Xingxu Yao
Jufeng Yang
Guiguang Ding
Björn W. Schuller
24
18
0
19 Mar 2021
Explainable Adversarial Attacks in Deep Neural Networks Using Activation
  Profiles
Explainable Adversarial Attacks in Deep Neural Networks Using Activation Profiles
G. Cantareira
R. Mello
F. Paulovich
AAML
29
9
0
18 Mar 2021
Beyond Trivial Counterfactual Explanations with Diverse Valuable
  Explanations
Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations
Pau Rodríguez López
Massimo Caccia
Alexandre Lacoste
L. Zamparo
I. Laradji
Laurent Charlin
David Vazquez
AAML
42
55
0
18 Mar 2021
Robust Vision-Based Cheat Detection in Competitive Gaming
Robust Vision-Based Cheat Detection in Competitive Gaming
Aditya Jonnalagadda
I. Frosio
Seth Schneider
M. McGuire
Joohwan Kim
AAML
32
15
0
18 Mar 2021
Textile Taxonomy and Classification Using Pulling and Twisting
Textile Taxonomy and Classification Using Pulling and Twisting
Alberta Longhini
Michael C. Welle
Ioanna Mitsioni
Danica Kragic
27
14
0
17 Mar 2021
Bio-inspired Robustness: A Review
Bio-inspired Robustness: A Review
Harshitha Machiraju
Oh-hyeon Choung
P. Frossard
Michael H. Herzog
AAML
40
1
0
16 Mar 2021
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and
  Instance Segmentation
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation
Jungbeom Lee
Jihun Yi
Chaehun Shin
Sungroh Yoon
ISeg
24
172
0
16 Mar 2021
Anti-Adversarially Manipulated Attributions for Weakly and
  Semi-Supervised Semantic Segmentation
Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation
Jungbeom Lee
Eunji Kim
Sungroh Yoon
30
226
0
16 Mar 2021
Unconstrained Face-Mask & Face-Hand Datasets: Building a Computer Vision
  System to Help Prevent the Transmission of COVID-19
Unconstrained Face-Mask & Face-Hand Datasets: Building a Computer Vision System to Help Prevent the Transmission of COVID-19
Fevziye Irem Eyiokur
H. K. Ekenel
Alexander Waibel
CVBM
37
20
0
16 Mar 2021
Deep Learning for Chest X-ray Analysis: A Survey
Deep Learning for Chest X-ray Analysis: A Survey
Ecem Sogancioglu
E. Çallı
Bram van Ginneken
K. G. V. Leeuwen
K. Murphy
LM&MA
31
317
0
15 Mar 2021
Information Maximization Clustering via Multi-View Self-Labelling
Information Maximization Clustering via Multi-View Self-Labelling
Foivos Ntelemis
Yaochu Jin
S. Thomas
SSL
21
25
0
12 Mar 2021
Severity Quantification and Lesion Localization of COVID-19 on CXR using
  Vision Transformer
Severity Quantification and Lesion Localization of COVID-19 on CXR using Vision Transformer
Gwanghyun Kim
Sangjoon Park
Y. Oh
J. Seo
Sang Min Lee
Jin Hwan Kim
Sungjun Moon
Jae-Kwang Lim
J. C. Ye
ViT
MedIm
43
4
0
12 Mar 2021
Interpretable Machine Learning: Moving From Mythos to Diagnostics
Interpretable Machine Learning: Moving From Mythos to Diagnostics
Valerie Chen
Jeffrey Li
Joon Sik Kim
Gregory Plumb
Ameet Talwalkar
32
29
0
10 Mar 2021
A Study of Face Obfuscation in ImageNet
A Study of Face Obfuscation in ImageNet
Kaiyu Yang
Jacqueline Yau
Li Fei-Fei
Jia Deng
Olga Russakovsky
PICV
CVBM
34
144
0
10 Mar 2021
Explanations in Autonomous Driving: A Survey
Explanations in Autonomous Driving: A Survey
Daniel Omeiza
Helena Webb
Marina Jirotka
Lars Kunze
11
214
0
09 Mar 2021
Student-Teacher Feature Pyramid Matching for Anomaly Detection
Student-Teacher Feature Pyramid Matching for Anomaly Detection
Guodong Wang
Shumin Han
Errui Ding
Di Huang
23
215
0
07 Mar 2021
Explanations for Occluded Images
Explanations for Occluded Images
Hana Chockler
Daniel Kroening
Youcheng Sun
30
21
0
05 Mar 2021
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels
  using Tissue Graphs
Learning Whole-Slide Segmentation from Inexact and Incomplete Labels using Tissue Graphs
Valentin Anklin
Pushpak Pati
Guillaume Jaume
Behzad Bozorgtabar
Antonio Foncubierta-Rodríguez
Jean-Philippe Thiran
M. Sibony
M. Gabrani
O. Goksel
64
38
0
04 Mar 2021
Self-supervised deep convolutional neural network for chest X-ray
  classification
Self-supervised deep convolutional neural network for chest X-ray classification
Matej Gazda
J. Gazda
J. Plávka
P. Drotár
SSL
40
54
0
04 Mar 2021
Coordinate Attention for Efficient Mobile Network Design
Coordinate Attention for Efficient Mobile Network Design
Qibin Hou
Daquan Zhou
Jiashi Feng
39
2,958
0
04 Mar 2021
Learning Invariant Representations across Domains and Tasks
Learning Invariant Representations across Domains and Tasks
Jindong Wang
Wenjie Feng
Chang-Shu Liu
Chaohui Yu
Min Du
Renjun Xu
Tao Qin
Tie-Yan Liu
OOD
28
3
0
03 Mar 2021
Touchless Palmprint Recognition based on 3D Gabor Template and Block
  Feature Refinement
Touchless Palmprint Recognition based on 3D Gabor Template and Block Feature Refinement
Zhaoqun Li
Xu Liang
Dandan Fan
Jinxing Li
Wei Jia
David Zhang
33
16
0
03 Mar 2021
EnD: Entangling and Disentangling deep representations for bias
  correction
EnD: Entangling and Disentangling deep representations for bias correction
Enzo Tartaglione
C. Barbano
Marco Grangetto
26
123
0
02 Mar 2021
Have We Learned to Explain?: How Interpretability Methods Can Learn to
  Encode Predictions in their Interpretations
Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations
N. Jethani
Mukund Sudarshan
Yindalon Aphinyanagphongs
Rajesh Ranganath
FAtt
88
69
0
02 Mar 2021
Test Automation with Grad-CAM Heatmaps -- A Future Pipe Segment in MLOps
  for Vision AI?
Test Automation with Grad-CAM Heatmaps -- A Future Pipe Segment in MLOps for Vision AI?
Markus Borg
Ronald Jabangwe
Simon Åberg
Arvid Ekblom
Ludwig Hedlund
August Lidfeldt
22
18
0
02 Mar 2021
An Interpretable Multiple-Instance Approach for the Detection of
  referable Diabetic Retinopathy from Fundus Images
An Interpretable Multiple-Instance Approach for the Detection of referable Diabetic Retinopathy from Fundus Images
Alexandros Papadopoulos
F. Topouzis
A. Delopoulos
43
26
0
02 Mar 2021
Explainable Person Re-Identification with Attribute-guided Metric
  Distillation
Explainable Person Re-Identification with Attribute-guided Metric Distillation
Xiaodong Chen
Xinchen Liu
Wu Liu
Xiaoping Zhang
Yongdong Zhang
Tao Mei
53
44
0
02 Mar 2021
Significance tests of feature relevance for a black-box learner
Significance tests of feature relevance for a black-box learner
Ben Dai
Xiaotong Shen
Wei Pan
26
26
0
02 Mar 2021
DeepMerge II: Building Robust Deep Learning Algorithms for Merging
  Galaxy Identification Across Domains
DeepMerge II: Building Robust Deep Learning Algorithms for Merging Galaxy Identification Across Domains
A. Ćiprijanović
Diana Kafkes
K. Downey
S. Jenkins
G. Perdue
Sandeep Madireddy
T. Johnston
Gregory F. Snyder
Brian D. Nord
21
25
0
02 Mar 2021
Uncertainty Quantification by Ensemble Learning for Computational
  Optical Form Measurements
Uncertainty Quantification by Ensemble Learning for Computational Optical Form Measurements
L. Hoffmann
I. Fortmeier
Clemens Elster
UQCV
25
28
0
01 Mar 2021
Dual Attention Suppression Attack: Generate Adversarial Camouflage in
  Physical World
Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World
Jiakai Wang
Aishan Liu
Zixin Yin
Shunchang Liu
Shiyu Tang
Xianglong Liu
AAML
146
197
0
01 Mar 2021
Over-sampling De-occlusion Attention Network for Prohibited Items
  Detection in Noisy X-ray Images
Over-sampling De-occlusion Attention Network for Prohibited Items Detection in Noisy X-ray Images
Renshuai Tao
Yanlu Wei
Hainan Li
Aishan Liu
Yifu Ding
Haotong Qin
Xianglong Liu
30
18
0
01 Mar 2021
Towards Unbiased COVID-19 Lesion Localisation and Segmentation via
  Weakly Supervised Learning
Towards Unbiased COVID-19 Lesion Localisation and Segmentation via Weakly Supervised Learning
Yang Yang
Jiancong Chen
Ruixuan Wang
Tingxia Ma
Lingwei Wang
Jie Chen
Weishi Zheng
Tong Zhang
22
12
0
01 Mar 2021
Axiomatic Explanations for Visual Search, Retrieval, and Similarity
  Learning
Axiomatic Explanations for Visual Search, Retrieval, and Similarity Learning
Mark Hamilton
Scott M. Lundberg
Lei Zhang
Stephanie Fu
William T. Freeman
FAtt
35
10
0
28 Feb 2021
Predicting post-operative right ventricular failure using video-based
  deep learning
Predicting post-operative right ventricular failure using video-based deep learning
R. Shad
Nicolas Quach
R. Fong
P. Kasinpila
C. Bowles
...
Y. Woo
J. Teuteberg
John P. Cunningham
C. Langlotz
W. Hiesinger
22
40
0
28 Feb 2021
On the Impact of Interpretability Methods in Active Image Augmentation
  Method
On the Impact of Interpretability Methods in Active Image Augmentation Method
F. Santos
Cleber Zanchettin
L. Matos
P. Novais
AAML
33
2
0
24 Feb 2021
Interpretability in Contact-Rich Manipulation via Kinodynamic Images
Interpretability in Contact-Rich Manipulation via Kinodynamic Images
Ioanna Mitsioni
Joonatan Mänttäri
Y. Karayiannidis
John Folkesson
Danica Kragic
FAtt
11
3
0
23 Feb 2021
Interpretative Computer-aided Lung Cancer Diagnosis: from Radiology
  Analysis to Malignancy Evaluation
Interpretative Computer-aided Lung Cancer Diagnosis: from Radiology Analysis to Malignancy Evaluation
Shaohua Zheng
Zhiqiang Shen
Chenhao Pei
Wangbin Ding
Haojin Lin
Jie-xuan Zheng
Lin Pan
Bin Zheng
Liqin Huang
21
25
0
22 Feb 2021
CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps
  for X-ray Segmentation
CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation
Soham Gadgil
Mark Endo
Emily Wen
A. Ng
Pranav Rajpurkar
23
11
0
21 Feb 2021
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