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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
NADER: Neural Architecture Design via Multi-Agent Collaboration
NADER: Neural Architecture Design via Multi-Agent Collaboration
Zekang Yang
Wang Zeng
Sheng Jin
Chen Qian
Ping Luo
Wentao Liu
AI4CE
39
0
0
26 Dec 2024
Adaptivity can help exponentially for shadow tomography
Adaptivity can help exponentially for shadow tomography
Sitan Chen
Weiyuan Gong
Zhihan Zhang
94
0
0
26 Dec 2024
Unity is Strength: Unifying Convolutional and Transformeral Features for
  Better Person Re-Identification
Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification
Yuhao Wang
Pingping Zhang
Xuehu Liu
Zhengzheng Tu
Huchuan Lu
80
3
0
23 Dec 2024
Breaking Barriers in Physical-World Adversarial Examples: Improving
  Robustness and Transferability via Robust Feature
Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature
Yichen Wang
Yuxuan Chou
Ziqi Zhou
Hangtao Zhang
Wei Wan
Shengshan Hu
Minghui Li
AAML
170
5
0
22 Dec 2024
A Backdoor Attack Scheme with Invisible Triggers Based on Model Architecture Modification
A Backdoor Attack Scheme with Invisible Triggers Based on Model Architecture Modification
Yuan Ma
Xu Ma
Jiankang Wei
Jinmeng Tang
Xiaoyu Zhang
Yilun Lyu
Kehao Chen
Jingtong Huang
179
0
0
22 Dec 2024
Self-Supervised Radiograph Anatomical Region Classification -- How Clean
  Is Your Real-World Data?
Self-Supervised Radiograph Anatomical Region Classification -- How Clean Is Your Real-World Data?
Simon Langer
J. Ritter
R. Braren
Daniel Rueckert
Paul Hager
126
0
0
20 Dec 2024
A Review of Multimodal Explainable Artificial Intelligence: Past,
  Present and Future
A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future
Shilin Sun
Wenbin An
Feng Tian
Fang Nan
Qidong Liu
Jing Liu
N. Shah
Ping Chen
151
6
0
18 Dec 2024
Detecting Machine-Generated Music with Explainability -- A Challenge and
  Early Benchmarks
Detecting Machine-Generated Music with Explainability -- A Challenge and Early Benchmarks
Yupei Li
Qiyang Sun
Hanqian Li
Lucia Specia
Björn Schuller
127
4
0
18 Dec 2024
GLCF: A Global-Local Multimodal Coherence Analysis Framework for Talking Face Generation Detection
GLCF: A Global-Local Multimodal Coherence Analysis Framework for Talking Face Generation Detection
Xiaocan Chen
Qilin Yin
Jiarui Liu
Wei Lu
Xiangyang Luo
Jiantao Zhou
CVBM
165
1
0
18 Dec 2024
Language-guided Medical Image Segmentation with Target-informed Multi-level Contrastive Alignments
Language-guided Medical Image Segmentation with Target-informed Multi-level Contrastive Alignments
Mingjian Li
Mingyuan Meng
Shuchang Ye
David Dagan Feng
Lei Bi
Jinman Kim
135
0
0
18 Dec 2024
Beyond Accuracy: On the Effects of Fine-tuning Towards Vision-Language Model's Prediction Rationality
Beyond Accuracy: On the Effects of Fine-tuning Towards Vision-Language Model's Prediction Rationality
Qitong Wang
Tang Li
Kien X. Nguyen
Xi Peng
182
0
0
17 Dec 2024
Fast-staged CNN Model for Accurate pulmonary diseases and Lung cancer
  detection
Fast-staged CNN Model for Accurate pulmonary diseases and Lung cancer detection
Abdelbaki Souid
Mohamed Hamroun
Soufiene Ben Othman
Hedi Sakli
Naceur Abdelkarim
87
0
0
16 Dec 2024
LineArt: A Knowledge-guided Training-free High-quality Appearance
  Transfer for Design Drawing with Diffusion Model
LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model
Xi Wang
Haoyang Li
Heng Fang
Yichen Peng
H. Xie
Xi Yang
Chuntao Li
DiffM
110
1
0
16 Dec 2024
Multilabel Classification for Lung Disease Detection: Integrating Deep
  Learning and Natural Language Processing
Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing
Maria Efimovich
Jayden Lim
Vedant Mehta
Ethan Poon
103
0
0
16 Dec 2024
Uni-AdaFocus: Spatial-temporal Dynamic Computation for Video Recognition
Uni-AdaFocus: Spatial-temporal Dynamic Computation for Video Recognition
Yulin Wang
Haoji Zhang
Yang Yue
Shiji Song
Chao Deng
Junlan Feng
Gao Huang
123
4
0
15 Dec 2024
Concept Learning in the Wild: Towards Algorithmic Understanding of
  Neural Networks
Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks
Elad Shohama
Hadar Cohena
Khalil Wattada
Havana Rikab
Dan Vilenchik
115
1
0
15 Dec 2024
EEG-GMACN: Interpretable EEG Graph Mutual Attention Convolutional
  Network
EEG-GMACN: Interpretable EEG Graph Mutual Attention Convolutional Network
Haili Ye
S. Goerttler
F. He
68
0
0
15 Dec 2024
Impact of Adversarial Attacks on Deep Learning Model Explainability
Impact of Adversarial Attacks on Deep Learning Model Explainability
Gazi Nazia Nur
Mohammad Ahnaf Sadat
AAMLFAtt
113
0
0
15 Dec 2024
One Pixel is All I Need
One Pixel is All I Need
Deng Siqin
Zhou Xiaoyi
ViT
453
0
0
14 Dec 2024
CognitionCapturer: Decoding Visual Stimuli From Human EEG Signal With
  Multimodal Information
CognitionCapturer: Decoding Visual Stimuli From Human EEG Signal With Multimodal Information
Kai Zhang
Lihuo He
Xin Jiang
Wen Lu
Di Wang
Xinbo Gao
128
1
0
13 Dec 2024
Advancing Attribution-Based Neural Network Explainability through
  Relative Absolute Magnitude Layer-Wise Relevance Propagation and
  Multi-Component Evaluation
Advancing Attribution-Based Neural Network Explainability through Relative Absolute Magnitude Layer-Wise Relevance Propagation and Multi-Component Evaluation
Davor Vukadin
Petar Afrić
Marin Šilić
Goran Delač
FAtt
134
2
0
12 Dec 2024
Wasserstein Distance Rivals Kullback-Leibler Divergence for Knowledge
  Distillation
Wasserstein Distance Rivals Kullback-Leibler Divergence for Knowledge Distillation
Jiaming Lv
Haoyuan Yang
P. Li
162
2
0
11 Dec 2024
FaceX: Understanding Face Attribute Classifiers through Summary Model
  Explanations
FaceX: Understanding Face Attribute Classifiers through Summary Model Explanations
Ioannis Sarridis
C. Koutlis
Symeon Papadopoulos
Christos Diou
CVBM
149
0
0
10 Dec 2024
Sound2Vision: Generating Diverse Visuals from Audio through Cross-Modal
  Latent Alignment
Sound2Vision: Generating Diverse Visuals from Audio through Cross-Modal Latent Alignment
Kim Sung-Bin
Arda Senocak
Hyunwoo Ha
Tae-Hyun Oh
DiffM
219
0
0
09 Dec 2024
Language Model as Visual Explainer
Language Model as Visual Explainer
Xingyi Yang
Xinchao Wang
VLM
76
0
0
08 Dec 2024
Neural network interpretability with layer-wise relevance propagation:
  novel techniques for neuron selection and visualization
Neural network interpretability with layer-wise relevance propagation: novel techniques for neuron selection and visualization
Deepshikha Bhati
Fnu Neha
Md. Amiruzzaman
Angela Guercio
Deepak Kumar Shukla
Ben Ward
FAtt
186
0
0
07 Dec 2024
Automatic Prediction of Stroke Treatment Outcomes: Latest Advances and
  Perspectives
Automatic Prediction of Stroke Treatment Outcomes: Latest Advances and Perspectives
Zeynel A. Samak
Philip Clatworthy
Majid Mirmehdi
137
2
0
06 Dec 2024
Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised
  Satellite Image Time Series Semantic Segmentation
Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation
Hao Zhu
Yan Zhu
Jiayu Xiao
Tianxiang Xiao
Yike Ma
Yucheng Zhang
Feng Dai
134
1
0
05 Dec 2024
Quantized and Interpretable Learning Scheme for Deep Neural Networks in
  Classification Task
Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task
Alireza Maleki
Mahsa Lavaei
Mohsen Bagheritabar
Salar Beigzad
Zahra Abadi
MQ
103
0
0
05 Dec 2024
A Unified Framework for Evaluating the Effectiveness and Enhancing the
  Transparency of Explainable AI Methods in Real-World Applications
A Unified Framework for Evaluating the Effectiveness and Enhancing the Transparency of Explainable AI Methods in Real-World Applications
M. Islam
M. F. Mridha
Md Abrar Jahin
Nilanjan Dey
81
2
0
05 Dec 2024
Speech Recognition-based Feature Extraction for Enhanced Automatic
  Severity Classification in Dysarthric Speech
Speech Recognition-based Feature Extraction for Enhanced Automatic Severity Classification in Dysarthric Speech
Yerin Choi
Jeehyun Lee
M. Koo
69
0
0
05 Dec 2024
Mask of truth: model sensitivity to unexpected regions of medical images
Mask of truth: model sensitivity to unexpected regions of medical images
Théo Sourget
Michelle Hestbek-Møller
Amelia Jiménez-Sánchez
Jack Junchi Xu
Veronika Cheplygina
AAML
183
0
0
05 Dec 2024
Multi-Level Correlation Network For Few-Shot Image Classification
Multi-Level Correlation Network For Few-Shot Image Classification
Yunkai Dang
Hao Fei
Zhengyu Chen
Xinliang Zhang
Zheng Wang
Meijun Sun
Donglin Wang
145
2
0
04 Dec 2024
OMENN: One Matrix to Explain Neural Networks
OMENN: One Matrix to Explain Neural Networks
Adam Wróbel
Mikołaj Janusz
Bartosz Zieliñski
Dawid Rymarczyk
FAttAAML
139
0
0
03 Dec 2024
GenMix: Effective Data Augmentation with Generative Diffusion Model
  Image Editing
GenMix: Effective Data Augmentation with Generative Diffusion Model Image Editing
Khawar Islam
M. Zaheer
Arif Mahmood
Karthik Nandakumar
Naveed Akhtar
DiffM
213
2
0
03 Dec 2024
Explainable and Interpretable Multimodal Large Language Models: A
  Comprehensive Survey
Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey
Yunkai Dang
Kaichen Huang
Jiahao Huo
Yibo Yan
Shijie Huang
...
Kun Wang
Yong Liu
Jing Shao
Hui Xiong
Xuming Hu
LRM
170
22
0
03 Dec 2024
INSIGHT: Explainable Weakly-Supervised Medical Image Analysis
INSIGHT: Explainable Weakly-Supervised Medical Image Analysis
Wenbo Zhang
Junyu Chen
Christopher Kanan
120
0
0
02 Dec 2024
AVS-Net: Audio-Visual Scale Net for Self-supervised Monocular Metric
  Depth Estimation
AVS-Net: Audio-Visual Scale Net for Self-supervised Monocular Metric Depth Estimation
Xiaohu Liu
Sascha Hornauer
Fabien Moutarde
Jialiang Lu
SSLMDE
104
0
0
02 Dec 2024
Behavior Backdoor for Deep Learning Models
Behavior Backdoor for Deep Learning Models
Jinqiao Wang
Pengfei Zhang
R. Tao
Jian Yang
Hao Liu
Xianglong Liu
Y. X. Wei
Yao Zhao
AAML
124
0
0
02 Dec 2024
Integrative CAM: Adaptive Layer Fusion for Comprehensive Interpretation
  of CNNs
Integrative CAM: Adaptive Layer Fusion for Comprehensive Interpretation of CNNs
Aniket K. Singh
Debasis Chaudhuri
Manish P. Singh
Samiran Chattopadhyay
109
0
0
02 Dec 2024
Neuron Abandoning Attention Flow: Visual Explanation of Dynamics inside
  CNN Models
Neuron Abandoning Attention Flow: Visual Explanation of Dynamics inside CNN Models
Yi Liao
Yongsheng Gao
Weichuan Zhang
100
0
0
02 Dec 2024
Explaining the Unexplained: Revealing Hidden Correlations for Better Interpretability
Explaining the Unexplained: Revealing Hidden Correlations for Better Interpretability
Wen-Dong Jiang
Chih-Yung Chang
Show-Jane Yen
Diptendu Sinha Roy
FAttHAI
268
1
0
02 Dec 2024
Explaining Object Detectors via Collective Contribution of Pixels
Explaining Object Detectors via Collective Contribution of Pixels
Toshinori Yamauchi
Hiroshi Kera
K. Kawamoto
ObjDFAtt
113
1
0
01 Dec 2024
Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding
Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding
Zilin Du
Haoxin Li
Jianfei Yu
Boyang Li
495
0
0
01 Dec 2024
Rethinking Generalizability and Discriminability of Self-Supervised
  Learning from Evolutionary Game Theory Perspective
Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective
Jiangmeng Li
Zehua Zang
Qirui Ji
Chuxiong Sun
Jingyao Wang
Junge Zhang
Changwen Zheng
Gang Hua
Hui Xiong
SSL
146
0
0
30 Nov 2024
Enhancing AI microscopy for foodborne bacterial classification via
  adversarial domain adaptation across optical and biological variability
Enhancing AI microscopy for foodborne bacterial classification via adversarial domain adaptation across optical and biological variability
Siddhartha Bhattacharya
Aarham Wasit
Mason Earles
Nitin Nitin
Luyao Ma
Jiyoon Yi
AAML
105
0
0
29 Nov 2024
FLARE: Toward Universal Dataset Purification against Backdoor Attacks
FLARE: Toward Universal Dataset Purification against Backdoor Attacks
Linshan Hou
Wei Luo
Zhongyun Hua
Songhua Chen
L. Zhang
Yiming Li
AAML
158
0
0
29 Nov 2024
Explaining the Impact of Training on Vision Models via Activation Clustering
Explaining the Impact of Training on Vision Models via Activation Clustering
Ahcène Boubekki
Samuel G. Fadel
Sebastian Mair
284
0
0
29 Nov 2024
Knowledge-Augmented Explainable and Interpretable Learning for Anomaly Detection and Diagnosis
Martin Atzmueller
Tim Bohne
Patricia Windler
152
0
0
28 Nov 2024
PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition
ShuaiHeng Li
Qing Cai
Fan Zhang
Hao Fei
Yangyang Shu
Ziqiang Liu
Haoyang Li
Lingqiao Liu
127
0
0
28 Nov 2024
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