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Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural
  Networks

Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks

3 October 2019
Mehdi Neshat
Zifan Wang
Bradley Alexander
Fan Yang
Zijian Zhang
Sirui Ding
Markus Wagner
Xia Hu
    FAtt
ArXivPDFHTML

Papers citing "Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks"

50 / 165 papers shown
Title
Feature Visualization in 3D Convolutional Neural Networks
Feature Visualization in 3D Convolutional Neural Networks
Chunpeng Li
Ya-tang Li
FAtt
26
0
0
12 May 2025
VR-FuseNet: A Fusion of Heterogeneous Fundus Data and Explainable Deep Network for Diabetic Retinopathy Classification
VR-FuseNet: A Fusion of Heterogeneous Fundus Data and Explainable Deep Network for Diabetic Retinopathy Classification
Shamim Rahim Refat
Ziyan Shirin Raha
Shuvashis Sarker
Faika Fairuj Preotee
MD. Musfikur Rahman
Tashreef Muhammad
Mohammad Shafiul Islam
MedIm
49
0
0
30 Apr 2025
MERA: Multimodal and Multiscale Self-Explanatory Model with Considerably Reduced Annotation for Lung Nodule Diagnosis
MERA: Multimodal and Multiscale Self-Explanatory Model with Considerably Reduced Annotation for Lung Nodule Diagnosis
Jiahao Lu
Chong Yin
Silvia Ingala
Kenny Erleben
M. Nielsen
S. Darkner
59
0
0
27 Apr 2025
ODExAI: A Comprehensive Object Detection Explainable AI Evaluation
ODExAI: A Comprehensive Object Detection Explainable AI Evaluation
Loc Phuc Truong Nguyen
Hung Nguyen
Hung Cao
71
0
0
27 Apr 2025
LimitNet: Progressive, Content-Aware Image Offloading for Extremely Weak Devices & Networks
LimitNet: Progressive, Content-Aware Image Offloading for Extremely Weak Devices & Networks
A. Hojjat
Janek Haberer
Tayyaba Zainab
Olaf Landsiedel
49
3
0
18 Apr 2025
Beyond Patches: Mining Interpretable Part-Prototypes for Explainable AI
Beyond Patches: Mining Interpretable Part-Prototypes for Explainable AI
Mahdi Alehdaghi
Rajarshi Bhattacharya
Pourya Shamsolmoali
Rafael M. O. Cruz
Maguelonne Heritier
Eric Granger
41
0
0
16 Apr 2025
From Visual Explanations to Counterfactual Explanations with Latent Diffusion
From Visual Explanations to Counterfactual Explanations with Latent Diffusion
Tung Luu
Nam Le
Duc Le
Bac Le
DiffM
AAML
FAtt
50
0
0
12 Apr 2025
Interactive Medical Image Analysis with Concept-based Similarity Reasoning
Ta Duc Huy
Sen Kim Tran
Phan Nguyen
Nguyen Hoang Tran
Tran Bao Sam
Anton Van Den Hengel
Zhibin Liao
Johan W. Verjans
Minh Nguyen Nhat To
Vu Minh Hieu Phan
53
0
0
10 Mar 2025
Enhancing Layer Attention Efficiency through Pruning Redundant Retrievals
Enhancing Layer Attention Efficiency through Pruning Redundant Retrievals
Hanze Li
Xiande Huang
46
0
0
09 Mar 2025
Show and Tell: Visually Explainable Deep Neural Nets via Spatially-Aware Concept Bottleneck Models
Show and Tell: Visually Explainable Deep Neural Nets via Spatially-Aware Concept Bottleneck Models
Itay Benou
Tammy Riklin-Raviv
67
0
0
27 Feb 2025
EU-Nets: Enhanced, Explainable and Parsimonious U-Nets
EU-Nets: Enhanced, Explainable and Parsimonious U-Nets
B. Sun
P. Liò
57
0
0
25 Feb 2025
A Privacy-Preserving Domain Adversarial Federated learning for multi-site brain functional connectivity analysis
A Privacy-Preserving Domain Adversarial Federated learning for multi-site brain functional connectivity analysis
Wenjie Qu
Likai Wang
Kuan-Jui Su
Aiying Zhang
Hao Zhu
Xiaowen Liu
Hui Shen
Vince D. Calhoun
Yuping Wang
H. Deng
63
0
0
03 Feb 2025
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable
Shreyash Arya
Sukrut Rao
Moritz Bohle
Bernt Schiele
81
2
0
28 Jan 2025
CoLo-CAM: Class Activation Mapping for Object Co-Localization in Weakly-Labeled Unconstrained Videos
CoLo-CAM: Class Activation Mapping for Object Co-Localization in Weakly-Labeled Unconstrained Videos
Soufiane Belharbi
Shakeeb Murtaza
M. Pedersoli
Ismail Ben Ayed
Luke McCaffrey
Eric Granger
WSOL
66
4
0
28 Jan 2025
Generating visual explanations from deep networks using implicit neural representations
Generating visual explanations from deep networks using implicit neural representations
Michal Byra
Henrik Skibbe
GAN
FAtt
34
0
0
20 Jan 2025
COMIX: Compositional Explanations using Prototypes
COMIX: Compositional Explanations using Prototypes
S. Sivaprasad
D. Kangin
Plamen Angelov
Mario Fritz
216
0
0
10 Jan 2025
CAMs as Shapley Value-based Explainers
CAMs as Shapley Value-based Explainers
Huaiguang Cai
FAtt
45
0
0
09 Jan 2025
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics
Lukas Klein
Carsten T. Lüth
U. Schlegel
Till J. Bungert
Mennatallah El-Assady
Paul F. Jäger
XAI
ELM
44
3
0
03 Jan 2025
Multi-Head Explainer: A General Framework to Improve Explainability in CNNs and Transformers
Multi-Head Explainer: A General Framework to Improve Explainability in CNNs and Transformers
Bohang Sun
Pietro Liò
ViT
AAML
50
1
0
02 Jan 2025
Interpreting Object-level Foundation Models via Visual Precision Search
Interpreting Object-level Foundation Models via Visual Precision Search
Ruoyu Chen
Siyuan Liang
Jingzhi Li
Shiming Liu
Maosen Li
Zheng Huang
Qichuan Geng
Xiaochun Cao
FAtt
82
4
0
25 Nov 2024
Interpret the Predictions of Deep Networks via Re-Label Distillation
Interpret the Predictions of Deep Networks via Re-Label Distillation
Yingying Hua
Shiming Ge
Daichi Zhang
FAtt
33
0
0
20 Sep 2024
Genetic Information Analysis of Age-Related Macular Degeneration Fellow
  Eye Using Multi-Modal Selective ViT
Genetic Information Analysis of Age-Related Macular Degeneration Fellow Eye Using Multi-Modal Selective ViT
Yoichi Furukawa
Satoshi Kamiya
Yoichi Sakurada
Kenji Kashiwagi
Kazuhiro Hotta
29
0
0
17 Sep 2024
Learning to Discover Forgery Cues for Face Forgery Detection
Learning to Discover Forgery Cues for Face Forgery Detection
Jiahe Tian
Peng-Wen Chen
Cai Yu
Xiaomeng Fu
Xi Wang
Jiao Dai
Jizhong Han
CVBM
AAML
43
6
0
02 Sep 2024
Human-inspired Explanations for Vision Transformers and Convolutional
  Neural Networks
Human-inspired Explanations for Vision Transformers and Convolutional Neural Networks
Mahadev Prasad Panda
Matteo Tiezzi
Martina Vilas
Gemma Roig
Bjoern M. Eskofier
Dario Zanca
ViT
AAML
41
1
0
04 Aug 2024
Comprehensive Attribution: Inherently Explainable Vision Model with
  Feature Detector
Comprehensive Attribution: Inherently Explainable Vision Model with Feature Detector
Xianren Zhang
Dongwon Lee
Suhang Wang
VLM
FAtt
50
3
0
27 Jul 2024
I2AM: Interpreting Image-to-Image Latent Diffusion Models via Bi-Attribution Maps
I2AM: Interpreting Image-to-Image Latent Diffusion Models via Bi-Attribution Maps
Junseo Park
Hyeryung Jang
81
0
0
17 Jul 2024
ViG-Bias: Visually Grounded Bias Discovery and Mitigation
ViG-Bias: Visually Grounded Bias Discovery and Mitigation
Badr-Eddine Marani
Mohamed Hanini
Nihitha Malayarukil
Stergios Christodoulidis
Maria Vakalopoulou
Enzo Ferrante
24
0
0
02 Jul 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors
Peter Lorenz
Mario Fernandez
Jens Müller
Ullrich Kothe
AAML
78
1
0
21 Jun 2024
BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation
BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation
Qile Fan
Penghang Yu
Zhiyi Tan
Bing-Kun Bao
Guanming Lu
37
1
0
01 Jun 2024
Listenable Maps for Zero-Shot Audio Classifiers
Listenable Maps for Zero-Shot Audio Classifiers
Francesco Paissan
Luca Della Libera
Mirco Ravanelli
Cem Subakan
40
4
0
27 May 2024
Hierarchical Salient Patch Identification for Interpretable Fundus Disease Localization
Hierarchical Salient Patch Identification for Interpretable Fundus Disease Localization
Yitao Peng
Lianghua He
D. Hu
FAtt
64
0
0
23 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
Fatema Tuj Johora Faria
Mukaffi Bin Moin
Pronay Debnath
Asif Iftekher Fahim
Faisal Muhammad Shah
29
1
0
12 May 2024
Rad4XCNN: a new agnostic method for post-hoc global explanation of CNN-derived features by means of radiomics
Rad4XCNN: a new agnostic method for post-hoc global explanation of CNN-derived features by means of radiomics
Francesco Prinzi
C. Militello
Calogero Zarcaro
T. Bartolotta
Salvatore Gaglio
Salvatore Vitabile
26
1
0
26 Apr 2024
A Learning Paradigm for Interpretable Gradients
A Learning Paradigm for Interpretable Gradients
Felipe Figueroa
Hanwei Zhang
R. Sicre
Yannis Avrithis
Stéphane Ayache
FAtt
28
0
0
23 Apr 2024
Towards Robust Ferrous Scrap Material Classification with Deep Learning
  and Conformal Prediction
Towards Robust Ferrous Scrap Material Classification with Deep Learning and Conformal Prediction
Paulo Henrique dos Santos
Valéria de Carvalho Santos
Eduardo José da Silva Luz
20
0
0
19 Apr 2024
COIN: Counterfactual inpainting for weakly supervised semantic
  segmentation for medical images
COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical images
Dmytro Shvetsov
Joonas Ariva
M. Domnich
Raul Vicente
Dmytro Fishman
MedIm
32
0
0
19 Apr 2024
(Not) Understanding Latin Poetic Style with Deep Learning
(Not) Understanding Latin Poetic Style with Deep Learning
Ben Nagy
11
1
0
09 Apr 2024
CAM-Based Methods Can See through Walls
CAM-Based Methods Can See through Walls
Magamed Taimeskhanov
R. Sicre
Damien Garreau
28
1
0
02 Apr 2024
An Interpretable Cross-Attentive Multi-modal MRI Fusion Framework for
  Schizophrenia Diagnosis
An Interpretable Cross-Attentive Multi-modal MRI Fusion Framework for Schizophrenia Diagnosis
Ziyu Zhou
Anton Orlichenko
Gang Qu
Z. Fu
Vince D. Calhoun
Zhengming Ding
Yu-Ping Wang
31
2
0
29 Mar 2024
Gradient based Feature Attribution in Explainable AI: A Technical Review
Gradient based Feature Attribution in Explainable AI: A Technical Review
Yongjie Wang
Tong Zhang
Xu Guo
Zhiqi Shen
XAI
29
19
0
15 Mar 2024
EventRPG: Event Data Augmentation with Relevance Propagation Guidance
EventRPG: Event Data Augmentation with Relevance Propagation Guidance
Mingyuan Sun
Donghao Zhang
Zongyuan Ge
Jiaxu Wang
Jia Li
Zheng Fang
Renjing Xu
37
7
0
14 Mar 2024
Explainable Contrastive and Cost-Sensitive Learning for Cervical Cancer
  Classification
Explainable Contrastive and Cost-Sensitive Learning for Cervical Cancer Classification
Ashfiqun Mustari
Rushmia Ahmed
Afsara Tasnim
Jakia Sultana Juthi
G. M. Shahariar
22
2
0
24 Feb 2024
Respect the model: Fine-grained and Robust Explanation with Sharing
  Ratio Decomposition
Respect the model: Fine-grained and Robust Explanation with Sharing Ratio Decomposition
Sangyu Han
Yearim Kim
Nojun Kwak
AAML
29
1
0
25 Jan 2024
Large-scale Long-tailed Disease Diagnosis on Radiology Images
Large-scale Long-tailed Disease Diagnosis on Radiology Images
Qiaoyu Zheng
Weike Zhao
Chaoyi Wu
Xiaoman Zhang
Lisong Dai
Hengyu Guan
Yuehua Li
Ya Zhang
Yanfeng Wang
Weidi Xie
LM&MA
MedIm
40
5
0
26 Dec 2023
CAManim: Animating end-to-end network activation maps
CAManim: Animating end-to-end network activation maps
Emily Kaczmarek
Olivier X. Miguel
Alexa C. Bowie
R. Ducharme
Alysha L. J. Dingwall-Harvey
S. Hawken
Christine M. Armour
Mark C. Walker
Kevin Dick
HAI
37
1
0
19 Dec 2023
LICO: Explainable Models with Language-Image Consistency
LICO: Explainable Models with Language-Image Consistency
Yiming Lei
Zilong Li
Yangyang Li
Junping Zhang
Hongming Shan
VLM
FAtt
17
7
0
15 Oct 2023
Explaining Deep Face Algorithms through Visualization: A Survey
Explaining Deep Face Algorithms through Visualization: A Survey
Thrupthi Ann
S. M. I. C. V. Balasubramanian
M. Jawahar
CVBM
36
1
0
26 Sep 2023
Overview of Class Activation Maps for Visualization Explainability
Overview of Class Activation Maps for Visualization Explainability
Anh Pham Thi Minh
HAI
FAtt
38
5
0
25 Sep 2023
Fairness Explainability using Optimal Transport with Applications in
  Image Classification
Fairness Explainability using Optimal Transport with Applications in Image Classification
Philipp Ratz
Franccois Hu
Arthur Charpentier
23
0
0
22 Aug 2023
Real-time Automatic M-mode Echocardiography Measurement with Panel
  Attention from Local-to-Global Pixels
Real-time Automatic M-mode Echocardiography Measurement with Panel Attention from Local-to-Global Pixels
Ching-Hsun Tseng
S. Chien
Po-Shen Wang
Shin-Jye Lee
Wei-Huan Hu
Bin Pu
Xiaojun Zeng
27
1
0
15 Aug 2023
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