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Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique
  for Deep Convolutional Neural Network Models

Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models

3 August 2019
Daniel Omeiza
Skyler Speakman
C. Cintas
Komminist Weldemariam
    FAtt
ArXivPDFHTML

Papers citing "Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models"

34 / 34 papers shown
Title
SCOPE-MRI: Bankart Lesion Detection as a Case Study in Data Curation and Deep Learning for Challenging Diagnoses
SCOPE-MRI: Bankart Lesion Detection as a Case Study in Data Curation and Deep Learning for Challenging Diagnoses
Sahil Sethi
Sai Reddy
Mansi Sakarvadia
Jordan Serotte
Darlington Nwaudo
Nicholas Maassen
Lewis Shi
41
0
0
29 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
51
0
0
27 Apr 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
56
4
0
28 Jan 2025
COMIX: Compositional Explanations using Prototypes
COMIX: Compositional Explanations using Prototypes
S. Sivaprasad
D. Kangin
Plamen Angelov
Mario Fritz
145
0
0
10 Jan 2025
Benchmarking the Attribution Quality of Vision Models
Benchmarking the Attribution Quality of Vision Models
Robin Hesse
Simone Schaub-Meyer
Stefan Roth
FAtt
34
3
0
16 Jul 2024
A better approach to diagnose retinal diseases: Combining our
  Segmentation-based Vascular Enhancement with deep learning features
A better approach to diagnose retinal diseases: Combining our Segmentation-based Vascular Enhancement with deep learning features
Yuzhuo Chen
Zetong Chen
Yuanyuan Liu
31
0
0
25 May 2024
A Learning Paradigm for Interpretable Gradients
A Learning Paradigm for Interpretable Gradients
Felipe Figueroa
Hanwei Zhang
R. Sicre
Yannis Avrithis
Stéphane Ayache
FAtt
20
0
0
23 Apr 2024
Towards Interpretable Classification of Leukocytes based on Deep
  Learning
Towards Interpretable Classification of Leukocytes based on Deep Learning
S. Röhrl
Johannes Groll
M. Lengl
Simon Schumann
C. Klenk
D. Heim
Martin Knopp
Oliver Hayden
Klaus Diepold
25
2
0
24 Nov 2023
Overview of Class Activation Maps for Visualization Explainability
Overview of Class Activation Maps for Visualization Explainability
Anh Pham Thi Minh
HAI
FAtt
34
5
0
25 Sep 2023
SUNY: A Visual Interpretation Framework for Convolutional Neural
  Networks from a Necessary and Sufficient Perspective
SUNY: A Visual Interpretation Framework for Convolutional Neural Networks from a Necessary and Sufficient Perspective
Xiwei Xuan
Ziquan Deng
Hsuan-Tien Lin
Z. Kong
Kwan-Liu Ma
AAML
FAtt
29
2
0
01 Mar 2023
MM-SFENet: Multi-scale Multi-task Localization and Classification of
  Bladder Cancer in MRI with Spatial Feature Encoder Network
MM-SFENet: Multi-scale Multi-task Localization and Classification of Bladder Cancer in MRI with Spatial Feature Encoder Network
Yumei Ren
Guoli Wang
Pingping Wang
Kun-Meng Liu
Quanjin Liu
Hongfu Sun
Xiang Li
Benzheng Wei
14
0
0
22 Feb 2023
On The Coherence of Quantitative Evaluation of Visual Explanations
On The Coherence of Quantitative Evaluation of Visual Explanations
Benjamin Vandersmissen
José Oramas
XAI
FAtt
34
3
0
14 Feb 2023
Cluster-CAM: Cluster-Weighted Visual Interpretation of CNNs' Decision in
  Image Classification
Cluster-CAM: Cluster-Weighted Visual Interpretation of CNNs' Decision in Image Classification
Zhenpeng Feng
H. Ji
M. Daković
Xiyang Cui
Mingzhe Zhu
Ljubisa Stankovic
24
7
0
03 Feb 2023
Identifying Spurious Correlations and Correcting them with an
  Explanation-based Learning
Identifying Spurious Correlations and Correcting them with an Explanation-based Learning
Misgina Tsighe Hagos
Kathleen M. Curran
Brian Mac Namee
20
10
0
15 Nov 2022
What Makes a Good Explanation?: A Harmonized View of Properties of
  Explanations
What Makes a Good Explanation?: A Harmonized View of Properties of Explanations
Zixi Chen
Varshini Subhash
Marton Havasi
Weiwei Pan
Finale Doshi-Velez
XAI
FAtt
33
18
0
10 Nov 2022
Recipro-CAM: Fast gradient-free visual explanations for convolutional
  neural networks
Recipro-CAM: Fast gradient-free visual explanations for convolutional neural networks
Seokhyun Byun
Won-Jo Lee
FAtt
36
4
0
28 Sep 2022
TCAM: Temporal Class Activation Maps for Object Localization in
  Weakly-Labeled Unconstrained Videos
TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos
Soufiane Belharbi
Ismail Ben Ayed
Luke McCaffrey
Eric Granger
WSOL
41
12
0
30 Aug 2022
The Weighting Game: Evaluating Quality of Explainability Methods
The Weighting Game: Evaluating Quality of Explainability Methods
Lassi Raatikainen
Esa Rahtu
FAtt
XAI
26
4
0
12 Aug 2022
Shap-CAM: Visual Explanations for Convolutional Neural Networks based on
  Shapley Value
Shap-CAM: Visual Explanations for Convolutional Neural Networks based on Shapley Value
Quan Zheng
Ziwei Wang
Jie Zhou
Jiwen Lu
FAtt
28
31
0
07 Aug 2022
Fault Detection and Classification of Aerospace Sensors using a
  VGG16-based Deep Neural Network
Fault Detection and Classification of Aerospace Sensors using a VGG16-based Deep Neural Network
Zhongzhi Li
Yunmei Zhao
Jinyi Ma
J. Ai
Yiqun Dong
16
2
0
27 Jul 2022
Augmented Imagefication: A Data-driven Fault Detection Method for Aircraft Air Data Sensors
Hang Zhao
Jinyi Ma
Zhongzhi Li
Yiqun Dong
J. Ai
19
0
0
18 Jun 2022
Reliable Visualization for Deep Speaker Recognition
Reliable Visualization for Deep Speaker Recognition
Pengqi Li
Lantian Li
A. Hamdulla
Dong Wang
HAI
40
9
0
08 Apr 2022
Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and
  Treating CNN Classifiers
Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers
Zunlei Feng
Jiacong Hu
Sai Wu
Xiaotian Yu
Jie Song
Xiuming Zhang
32
13
0
09 Dec 2021
SSA: Semantic Structure Aware Inference for Weakly Pixel-Wise Dense
  Predictions without Cost
SSA: Semantic Structure Aware Inference for Weakly Pixel-Wise Dense Predictions without Cost
Yanpeng Sun
Zechao Li
29
15
0
05 Nov 2021
VAC-CNN: A Visual Analytics System for Comparative Studies of Deep
  Convolutional Neural Networks
VAC-CNN: A Visual Analytics System for Comparative Studies of Deep Convolutional Neural Networks
Xiwei Xuan
Xiaoyu Zhang
Oh-Hyun Kwon
K. Ma
HAI
16
17
0
25 Oct 2021
F-CAM: Full Resolution Class Activation Maps via Guided Parametric
  Upscaling
F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling
Soufiane Belharbi
Aydin Sarraf
M. Pedersoli
Ismail Ben Ayed
Luke McCaffrey
Eric Granger
WSOL
36
30
0
15 Sep 2021
Ridge Regression Neural Network for Pediatric Bone Age Assessment
Ridge Regression Neural Network for Pediatric Bone Age Assessment
Ibrahim Salim
A. B. Hamza
14
25
0
15 Apr 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
A Data Set and a Convolutional Model for Iconography Classification in
  Paintings
A Data Set and a Convolutional Model for Iconography Classification in Paintings
Federico Milani
Piero Fraternali
22
50
0
06 Oct 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
31
79
0
17 Sep 2020
Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of
  CNNs
Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs
Ruigang Fu
Qingyong Hu
Xiaohu Dong
Yulan Guo
Yinghui Gao
Biao Li
FAtt
24
266
0
05 Aug 2020
Weakly Supervised Minirhizotron Image Segmentation with MIL-CAM
Weakly Supervised Minirhizotron Image Segmentation with MIL-CAM
Guohao Yu
A. Zare
Weihuang Xu
R. Matamala
J. Reyes‐Cabrera
F. Fritschi
T. Juenger
14
12
0
30 Jul 2020
Efficient Saliency Maps for Explainable AI
Efficient Saliency Maps for Explainable AI
T. Nathan Mundhenk
Barry Y. Chen
Gerald Friedland
XAI
FAtt
18
73
0
26 Nov 2019
Deep Weakly-Supervised Learning Methods for Classification and
  Localization in Histology Images: A Survey
Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey
Jérôme Rony
Soufiane Belharbi
Jose Dolz
Ismail Ben Ayed
Luke McCaffrey
Eric Granger
25
70
0
08 Sep 2019
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