ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2008.02312
  4. Cited By
Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of
  CNNs

Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs

5 August 2020
Ruigang Fu
Qingyong Hu
Xiaohu Dong
Yulan Guo
Yinghui Gao
Biao Li
    FAtt
ArXivPDFHTML

Papers citing "Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs"

32 / 32 papers shown
Title
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
49
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
37
3
0
18 Apr 2025
Generalizable and Explainable Deep Learning for Medical Image Computing: An Overview
A. Chaddad
Yan Hu
Yihang Wu
Binbin Wen
R. Kateb
56
6
0
11 Mar 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
54
4
0
28 Jan 2025
Benchmarking the Attribution Quality of Vision Models
Benchmarking the Attribution Quality of Vision Models
Robin Hesse
Simone Schaub-Meyer
Stefan Roth
FAtt
29
3
0
16 Jul 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
44
0
0
23 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
18
0
0
23 Apr 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
21
1
0
25 Jan 2024
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
19
1
0
19 Dec 2023
Zero-shot Translation of Attention Patterns in VQA Models to Natural
  Language
Zero-shot Translation of Attention Patterns in VQA Models to Natural Language
Leonard Salewski
A. Sophia Koepke
Hendrik P. A. Lensch
Zeynep Akata
29
2
0
08 Nov 2023
Overview of Class Activation Maps for Visualization Explainability
Overview of Class Activation Maps for Visualization Explainability
Anh Pham Thi Minh
HAI
FAtt
24
5
0
25 Sep 2023
Rethinking Class Activation Maps for Segmentation: Revealing Semantic
  Information in Shallow Layers by Reducing Noise
Rethinking Class Activation Maps for Segmentation: Revealing Semantic Information in Shallow Layers by Reducing Noise
Hangcheng Dong
Yuhao Jiang
Yingyan Huang
Jing-Xiao Liao
Bingguo Liu
Dong Ye
Guodong Liu
10
1
0
04 Aug 2023
G-CAME: Gaussian-Class Activation Mapping Explainer for Object Detectors
G-CAME: Gaussian-Class Activation Mapping Explainer for Object Detectors
Quoc Khanh Nguyen
Hung Truong Thanh Nguyen
Truong Thanh Hung Nguyen
Van Binh Truong
Quoc Hung Cao
24
4
0
06 Jun 2023
How Will It Drape Like? Capturing Fabric Mechanics from Depth Images
How Will It Drape Like? Capturing Fabric Mechanics from Depth Images
Carlos Rodriguez-Pardo
Melania Prieto-Martin
Dan Casas
Elena Garces
23
12
0
13 Apr 2023
Mask and Restore: Blind Backdoor Defense at Test Time with Masked
  Autoencoder
Mask and Restore: Blind Backdoor Defense at Test Time with Masked Autoencoder
Tao Sun
Lu Pang
Chao Chen
Haibin Ling
AAML
35
9
0
27 Mar 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
21
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
19
7
0
03 Feb 2023
Opti-CAM: Optimizing saliency maps for interpretability
Opti-CAM: Optimizing saliency maps for interpretability
Hanwei Zhang
Felipe Torres
R. Sicre
Yannis Avrithis
Stéphane Ayache
28
22
0
17 Jan 2023
Explainable Model-Agnostic Similarity and Confidence in Face
  Verification
Explainable Model-Agnostic Similarity and Confidence in Face Verification
Martin Knoche
Torben Teepe
S. Hörmann
Gerhard Rigoll
AAML
CVBM
19
17
0
24 Nov 2022
Character-Centric Story Visualization via Visual Planning and Token
  Alignment
Character-Centric Story Visualization via Visual Planning and Token Alignment
Hong Chen
Rujun Han
Te-Lin Wu
Hideki Nakayama
Nanyun Peng
DiffM
VGen
16
31
0
16 Oct 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
23
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
39
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
21
4
0
12 Aug 2022
Sensing accident-prone features in urban scenes for proactive driving
  and accident prevention
Sensing accident-prone features in urban scenes for proactive driving and accident prevention
Sumit Mishra
Praveenbalaji Rajendran
L. Vecchietti
Dongsoo Har
11
13
0
25 Feb 2022
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
24
15
0
05 Nov 2021
PatchGame: Learning to Signal Mid-level Patches in Referential Games
PatchGame: Learning to Signal Mid-level Patches in Referential Games
Kamal Gupta
Gowthami Somepalli
Anubhav Gupta
Vinoj Jayasundara
Matthias Zwicker
Abhinav Shrivastava
20
3
0
02 Nov 2021
Gradient Frequency Modulation for Visually Explaining Video
  Understanding Models
Gradient Frequency Modulation for Visually Explaining Video Understanding Models
Xinmiao Lin
Wentao Bao
Matthew Wright
Yu Kong
FAtt
AAML
22
2
0
01 Nov 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
31
30
0
15 Sep 2021
A Comparison of Deep Saliency Map Generators on Multispectral Data in
  Object Detection
A Comparison of Deep Saliency Map Generators on Multispectral Data in Object Detection
Jens Bayer
David Munch
Michael Arens
3DPC
25
3
0
26 Aug 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
25
10
0
28 Feb 2021
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
23
70
0
08 Sep 2019
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,235
0
24 Jun 2017
1