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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 / 5,297 papers shown
Title
Efficient Multitask Dense Predictor via Binarization
Efficient Multitask Dense Predictor via Binarization
Yuzhang Shang
Dan Xu
Gaowen Liu
Ramana Rao Kompella
Yan Yan
MQAAML
101
1
0
23 May 2024
Multi-modality Regional Alignment Network for Covid X-Ray Survival
  Prediction and Report Generation
Multi-modality Regional Alignment Network for Covid X-Ray Survival Prediction and Report Generation
Zhusi Zhong
Jie Li
J. Sollee
Scott Collins
Harrison X. Bai
Paul J Zhang
Terrance Healey
Michael Atalay
Xinbo Gao
Zhicheng Jiao
61
1
0
23 May 2024
Good Seed Makes a Good Crop: Discovering Secret Seeds in Text-to-Image Diffusion Models
Good Seed Makes a Good Crop: Discovering Secret Seeds in Text-to-Image Diffusion Models
Katherine Xu
Lingzhi Zhang
Jianbo Shi
144
17
0
23 May 2024
Why do explanations fail? A typology and discussion on failures in XAI
Why do explanations fail? A typology and discussion on failures in XAI
Clara Bove
Thibault Laugel
Marie-Jeanne Lesot
C. Tijus
Marcin Detyniecki
69
3
0
22 May 2024
Low-Resolution Chest X-ray Classification via Knowledge Distillation and
  Multi-task Learning
Low-Resolution Chest X-ray Classification via Knowledge Distillation and Multi-task Learning
Yasmeena Akhter
Rishabh Ranjan
Richa Singh
Mayank Vatsa
64
0
0
22 May 2024
Part-based Quantitative Analysis for Heatmaps
Part-based Quantitative Analysis for Heatmaps
Osman Tursun
Sinan Kalkan
Simon Denman
Sridha Sridharan
Clinton Fookes
80
0
0
22 May 2024
A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image Classification
A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image Classification
Tom Burgert
Tim Siebert
Kai Norman Clasen
Begüm Demir
Begüm Demir
121
1
0
22 May 2024
Nearest is Not Dearest: Towards Practical Defense against
  Quantization-conditioned Backdoor Attacks
Nearest is Not Dearest: Towards Practical Defense against Quantization-conditioned Backdoor Attacks
Boheng Li
Yishuo Cai
Haowei Li
Feng Xue
Zhifeng Li
Yiming Li
MQAAML
80
21
0
21 May 2024
StarLKNet: Star Mixup with Large Kernel Networks for Palm Vein
  Identification
StarLKNet: Star Mixup with Large Kernel Networks for Palm Vein Identification
Xin Jin
Hongyu Zhu
M. El-Yacoubi
Hongchao Liao
Huafeng Qin
Yun Jiang
120
6
0
21 May 2024
Explainable offline automatic signature verifier to support forensic
  handwriting examiners
Explainable offline automatic signature verifier to support forensic handwriting examiners
Moisés Díaz
M. A. Ferrer-Ballester
G. Vessio
82
4
0
21 May 2024
FFAM: Feature Factorization Activation Map for Explanation of 3D
  Detectors
FFAM: Feature Factorization Activation Map for Explanation of 3D Detectors
Shuai Liu
Boyang Li
Zhiyu Fang
Mingyue Cui
Kai Huang
62
1
0
21 May 2024
A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data
A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data
Xinyi Wang
Grazziela Figueredo
Ruizhe Li
Wei Emma Zhang
Weitong Chen
Xin Chen
MedImViT
110
2
0
21 May 2024
Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation
Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation
Yuang Zhao
Zhaocheng Du
Qinglin Jia
Linxuan Zhang
Zhenhua Dong
Ruiming Tang
195
3
0
21 May 2024
Enhancing Explainable AI: A Hybrid Approach Combining GradCAM and LRP
  for CNN Interpretability
Enhancing Explainable AI: A Hybrid Approach Combining GradCAM and LRP for CNN Interpretability
Vaibhav Dhore
Achintya Bhat
Viraj Nerlekar
Kashyap Chavhan
Aniket Umare
FAtt
43
5
0
20 May 2024
EXACT: Towards a platform for empirically benchmarking Machine Learning
  model explanation methods
EXACT: Towards a platform for empirically benchmarking Machine Learning model explanation methods
Benedict Clark
Rick Wilming
Artur Dox
Paul Eschenbach
Sami Hached
...
Hjalmar Schulz
Luca Matteo Cornils
Danny Panknin
Ahcène Boubekki
Stefan Haufe
47
0
0
20 May 2024
A Multi-Modal Explainability Approach for Human-Aware Robots in Multi-Party Conversation
A Multi-Modal Explainability Approach for Human-Aware Robots in Multi-Party Conversation
Iveta Becková
Stefan Pócos
Giulia Belgiovine
Marco Matarese
A. Sciutti
Carlo Mazzola
Carlo Mazzola
130
0
0
20 May 2024
Liver Fat Quantification Network with Body Shape
Liver Fat Quantification Network with Body Shape
Qiyue Wang
Wu Xue
Xiaoke Zhang
Fang Jin
James K. Hahn
MedIm
34
0
0
18 May 2024
Fully Exploiting Every Real Sample: SuperPixel Sample Gradient Model
  Stealing
Fully Exploiting Every Real Sample: SuperPixel Sample Gradient Model Stealing
Yunlong Zhao
Xiaoheng Deng
Yijing Liu
Xin-jun Pei
Jiazhi Xia
Wei Chen
AAML
48
3
0
18 May 2024
Towards Gradient-based Time-Series Explanations through a SpatioTemporal
  Attention Network
Towards Gradient-based Time-Series Explanations through a SpatioTemporal Attention Network
Min Hun Lee
AI4TSViTFAtt
57
3
0
18 May 2024
Review of Deep Representation Learning Techniques for Brain-Computer
  Interfaces and Recommendations
Review of Deep Representation Learning Techniques for Brain-Computer Interfaces and Recommendations
Pierre Guetschel
Sara Ahmadi
Michael Tangermann
101
0
0
17 May 2024
Evaluating Saliency Explanations in NLP by Crowdsourcing
Evaluating Saliency Explanations in NLP by Crowdsourcing
Xiaotian Lu
Jiyi Li
Zhen Wan
Xiaofeng Lin
Koh Takeuchi
Hisashi Kashima
XAIFAttLRM
68
1
0
17 May 2024
Data Science Principles for Interpretable and Explainable AI
Data Science Principles for Interpretable and Explainable AI
Kris Sankaran
FaML
103
1
0
17 May 2024
VideoQA-SC: Adaptive Semantic Communication for Video Question Answering
VideoQA-SC: Adaptive Semantic Communication for Video Question Answering
Jiangyuan Guo
Wei Chen
Yuxuan Sun
Jia-lin Xu
Bo Ai
112
4
0
17 May 2024
Faithful Attention Explainer: Verbalizing Decisions Based on
  Discriminative Features
Faithful Attention Explainer: Verbalizing Decisions Based on Discriminative Features
Yao Rong
David Scheerer
Enkelejda Kasneci
80
0
0
16 May 2024
Infrared Adversarial Car Stickers
Infrared Adversarial Car Stickers
Xiaopei Zhu
Yuqiu Liu
Zhan Hu
Jianmin Li
Xiaolin Hu
AAML
85
0
0
16 May 2024
Parallel Backpropagation for Shared-Feature Visualization
Parallel Backpropagation for Shared-Feature Visualization
Alexander Lappe
Anna Bognár
Ghazaleh Ghamkhari Nejad
A. Mukovskiy
Lucas M. Martini
Martin A. Giese
Rufin Vogels
FAtt
50
1
0
16 May 2024
RobustMVS: Single Domain Generalized Deep Multi-view Stereo
RobustMVS: Single Domain Generalized Deep Multi-view Stereo
Hongbin Xu
Weitao Chen
Baigui Sun
Xuansong Xie
Wenxiong Kang
90
5
0
15 May 2024
Explainable AI for Ship Collision Avoidance: Decoding Decision-Making
  Processes and Behavioral Intentions
Explainable AI for Ship Collision Avoidance: Decoding Decision-Making Processes and Behavioral Intentions
Hitoshi Yoshioka
Hirotada Hashimoto
24
1
0
15 May 2024
Contextual Emotion Recognition using Large Vision Language Models
Contextual Emotion Recognition using Large Vision Language Models
Yasaman Etesam
Özge Nilay Yalçin
Chuxuan Zhang
Angelica Lim
VLM
127
4
0
14 May 2024
Error-margin Analysis for Hidden Neuron Activation Labels
Error-margin Analysis for Hidden Neuron Activation Labels
Abhilekha Dalal
R. Rayan
Pascal Hitzler
FAtt
60
1
0
14 May 2024
Cross-Domain Feature Augmentation for Domain Generalization
Cross-Domain Feature Augmentation for Domain Generalization
Yingnan Liu
Yingtian Zou
Rui Qiao
Fusheng Liu
Mong Li Lee
Wynne Hsu
OOD
63
5
0
14 May 2024
CIER: A Novel Experience Replay Approach with Causal Inference in Deep
  Reinforcement Learning
CIER: A Novel Experience Replay Approach with Causal Inference in Deep Reinforcement Learning
Jingwen Wang
Dehui Du
Yida Li
Yiyang Li
Yikang Chen
AI4TSCML
32
0
0
14 May 2024
Semantic Contextualization of Face Forgery: A New Definition, Dataset, and Detection Method
Semantic Contextualization of Face Forgery: A New Definition, Dataset, and Detection Method
Mian Zou
Baosheng Yu
Yibing Zhan
Siwei Lyu
Kede Ma
CVBM
123
4
0
14 May 2024
VQDNA: Unleashing the Power of Vector Quantization for Multi-Species
  Genomic Sequence Modeling
VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling
Siyuan Li
Zedong Wang
Zicheng Liu
Di Wu
Cheng Tan
Jiangbin Zheng
Yufei Huang
Stan Z. Li
68
8
0
13 May 2024
RATLIP: Generative Adversarial CLIP Text-to-Image Synthesis Based on
  Recurrent Affine Transformations
RATLIP: Generative Adversarial CLIP Text-to-Image Synthesis Based on Recurrent Affine Transformations
Chengde Lin
Xijun Lu
Guangxi Chen
62
0
0
13 May 2024
Can Better Text Semantics in Prompt Tuning Improve VLM Generalization?
Can Better Text Semantics in Prompt Tuning Improve VLM Generalization?
Hari Chandana Kuchibhotla
Sai Srinivas Kancheti
Abbavaram Gowtham Reddy
Vineeth N. Balasubramanian
VLM
96
0
0
13 May 2024
IMAFD: An Interpretable Multi-stage Approach to Flood Detection from
  time series Multispectral Data
IMAFD: An Interpretable Multi-stage Approach to Flood Detection from time series Multispectral Data
Ziyang Zhang
Plamen Angelov
D. Kangin
Nicolas Longépé
AI4CE
76
1
0
13 May 2024
Multi-Task Learning for Fatigue Detection and Face Recognition of
  Drivers via Tree-Style Space-Channel Attention Fusion Network
Multi-Task Learning for Fatigue Detection and Face Recognition of Drivers via Tree-Style Space-Channel Attention Fusion Network
Shulei Qu
Zhenguo Gao
Xiaowei Chen
Na Li
Yakai Wang
Sissi Xiaoxiao Wu
CVBM
26
0
0
13 May 2024
Environmental Matching Attack Against Unmanned Aerial Vehicles Object
  Detection
Environmental Matching Attack Against Unmanned Aerial Vehicles Object Detection
Dehong Kong
Siyuan Liang
Wenqi Ren
AAML
98
6
0
13 May 2024
Incorporating Anatomical Awareness for Enhanced Generalizability and
  Progression Prediction in Deep Learning-Based Radiographic Sacroiliitis
  Detection
Incorporating Anatomical Awareness for Enhanced Generalizability and Progression Prediction in Deep Learning-Based Radiographic Sacroiliitis Detection
Felix J. Dorfner
J. Vahldiek
Leonhard Donle
Andrei Zhukov
Lina Xu
...
T. Diekhoff
M. Torgutalp
Lisa Christine Adams
Denis Poddubnyy
Keno K. Bressem
AI4CE
117
1
0
12 May 2024
Explainable Convolutional Neural Networks for Retinal Fundus
  Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels
  from Fundus Images
Explainable Convolutional Neural Networks for Retinal Fundus Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels from Fundus Images
Mukaffi Bin Moin
Mohammad Shafiul Alam
Pronay Debnath
Asif Iftekher Fahim
Faisal Muhammad Shah
62
8
0
12 May 2024
PotatoGANs: Utilizing Generative Adversarial Networks, Instance Segmentation, and Explainable AI for Enhanced Potato Disease Identification and Classification
PotatoGANs: Utilizing Generative Adversarial Networks, Instance Segmentation, and Explainable AI for Enhanced Potato Disease Identification and Classification
Fatema Tuj Johora Faria
Mukaffi Bin Moin
Mohammad Shafiul Alam
Ahmed Al Wase
Md. Rabius Sani
Khan Md. Hasib
MedIm
56
2
0
12 May 2024
LogicAL: Towards logical anomaly synthesis for unsupervised anomaly
  localization
LogicAL: Towards logical anomaly synthesis for unsupervised anomaly localization
Ying Zhao
91
6
0
11 May 2024
Evaluating Adversarial Robustness in the Spatial Frequency Domain
Evaluating Adversarial Robustness in the Spatial Frequency Domain
Keng-Hsin Liao
Chin-Yuan Yeh
Hsi-Wen Chen
Ming-Syan Chen
69
0
0
10 May 2024
Learning Latent Dynamic Robust Representations for World Models
Learning Latent Dynamic Robust Representations for World Models
Ruixiang Sun
Hongyu Zang
Xin-hui Li
Riashat Islam
71
5
0
10 May 2024
Robust and Explainable Fine-Grained Visual Classification with Transfer
  Learning: A Dual-Carriageway Framework
Robust and Explainable Fine-Grained Visual Classification with Transfer Learning: A Dual-Carriageway Framework
Zheming Zuo
Joseph Smith
Jonathan Stonehouse
Boguslaw Obara
88
2
0
09 May 2024
CSA-Net: Channel-wise Spatially Autocorrelated Attention Networks
CSA-Net: Channel-wise Spatially Autocorrelated Attention Networks
Nick Nikzad
Yongsheng Gao
Jun Zhou
59
1
0
09 May 2024
Poisoning-based Backdoor Attacks for Arbitrary Target Label with
  Positive Triggers
Poisoning-based Backdoor Attacks for Arbitrary Target Label with Positive Triggers
Binxiao Huang
Jason Chun Lok Li
Chang Liu
Ngai Wong
AAML
116
0
0
09 May 2024
Universal Adversarial Perturbations for Vision-Language Pre-trained
  Models
Universal Adversarial Perturbations for Vision-Language Pre-trained Models
Pengfei Zhang
Zi Huang
Guangdong Bai
AAML
87
13
0
09 May 2024
Advancing Head and Neck Cancer Survival Prediction via Multi-Label
  Learning and Deep Model Interpretation
Advancing Head and Neck Cancer Survival Prediction via Multi-Label Learning and Deep Model Interpretation
Meixu Chen
Kai Wang
Jing Wang
82
0
0
09 May 2024
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