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There and Back Again: Revisiting Backpropagation Saliency Methods

There and Back Again: Revisiting Backpropagation Saliency Methods

Computer Vision and Pattern Recognition (CVPR), 2020
6 April 2020
Sylvestre-Alvise Rebuffi
Ruth C. Fong
Xu Ji
Andrea Vedaldi
    FAttXAI
ArXiv (abs)PDFHTML

Papers citing "There and Back Again: Revisiting Backpropagation Saliency Methods"

50 / 69 papers shown
Region-CAM: Towards Accurate Object Regions in Class Activation Maps for Weakly Supervised Learning Tasks
Region-CAM: Towards Accurate Object Regions in Class Activation Maps for Weakly Supervised Learning Tasks
Qingdong Cai
Charith Abhayaratne
WSOLVLM
381
0
0
29 Oct 2025
TextCAM: Explaining Class Activation Map with Text
TextCAM: Explaining Class Activation Map with Text
Qiming Zhao
Xingjian Li
Xiaoyu Cao
Xiaolong Wu
Min Xu
VLM
142
0
0
01 Oct 2025
Concept Probing: Where to Find Human-Defined Concepts (Extended Version)
Concept Probing: Where to Find Human-Defined Concepts (Extended Version)
Manuel de Sousa Ribeiro
Afonso Leote
João Leite
304
1
0
24 Jul 2025
On the Performance of Concept Probing: The Influence of the Data (Extended Version)
On the Performance of Concept Probing: The Influence of the Data (Extended Version)
Manuel de Sousa Ribeiro
Afonso Leote
João Leite
295
1
0
24 Jul 2025
Unifying Perplexing Behaviors in Modified BP Attributions through Alignment Perspective
Unifying Perplexing Behaviors in Modified BP Attributions through Alignment Perspective
Guanhua Zheng
Jitao Sang
Changsheng Xu
AAMLFAtt
347
0
0
14 Mar 2025
How Does Audio Influence Visual Attention in Omnidirectional Videos? Database and Model
How Does Audio Influence Visual Attention in Omnidirectional Videos? Database and ModelIEEE Transactions on Image Processing (TIP), 2024
Yuxin Zhu
Huiyu Duan
Kaiwei Zhang
Yucheng Zhu
Xilei Zhu
Long Teng
Xiongkuo Min
Guangtao Zhai
311
8
0
10 Aug 2024
XEdgeAI: A Human-centered Industrial Inspection Framework with
  Data-centric Explainable Edge AI Approach
XEdgeAI: A Human-centered Industrial Inspection Framework with Data-centric Explainable Edge AI Approach
Truong Thanh Hung Nguyen
Phuc Truong Loc Nguyen
Hung Cao
410
21
0
16 Jul 2024
Provably Better Explanations with Optimized Aggregation of Feature
  Attributions
Provably Better Explanations with Optimized Aggregation of Feature AttributionsInternational Conference on Machine Learning (ICML), 2024
Thomas Decker
Ananta R. Bhattarai
Jindong Gu
Volker Tresp
Florian Buettner
241
7
0
07 Jun 2024
Forward Learning for Gradient-based Black-box Saliency Map Generation
Forward Learning for Gradient-based Black-box Saliency Map Generation
Zeliang Zhang
Mingqian Feng
Jinyang Jiang
Rongyi Zhu
Yijie Peng
Chenliang Xu
FAtt
394
3
0
22 Mar 2024
Feature Accentuation: Revealing 'What' Features Respond to in Natural
  Images
Feature Accentuation: Revealing 'What' Features Respond to in Natural Images
Christopher Hamblin
Thomas Fel
Srijani Saha
Talia Konkle
George A. Alvarez
FAtt
444
5
0
15 Feb 2024
XAI-Enhanced Semantic Segmentation Models for Visual Quality Inspection
XAI-Enhanced Semantic Segmentation Models for Visual Quality Inspection
Tobias Clement
Truong Thanh Hung Nguyen
Mohamed Abdelaal
Hung Cao
294
5
0
18 Jan 2024
Towards Better Visualizing the Decision Basis of Networks via Unfold and Conquer Attribution Guidance
Towards Better Visualizing the Decision Basis of Networks via Unfold and Conquer Attribution Guidance
Jung-Ho Hong
Woo-Jeoung Nam
Kyu-Sung Jeon
Seong-Whan Lee
250
3
0
21 Dec 2023
SPADE: Sparsity-Guided Debugging for Deep Neural Networks
SPADE: Sparsity-Guided Debugging for Deep Neural NetworksInternational Conference on Machine Learning (ICML), 2023
Arshia Soltani Moakhar
Eugenia Iofinova
Elias Frantar
Dan Alistarh
382
2
0
06 Oct 2023
Interpretability Benchmark for Evaluating Spatial Misalignment of
  Prototypical Parts Explanations
Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts ExplanationsAAAI Conference on Artificial Intelligence (AAAI), 2023
Mikolaj Sacha
Bartosz Jura
Dawid Rymarczyk
Lukasz Struski
Jacek Tabor
Bartosz Zieliñski
240
27
0
16 Aug 2023
Rosetta Neurons: Mining the Common Units in a Model Zoo
Rosetta Neurons: Mining the Common Units in a Model ZooIEEE International Conference on Computer Vision (ICCV), 2023
Amil Dravid
Yossi Gandelsman
Alexei A. Efros
Assaf Shocher
327
42
0
15 Jun 2023
Decom--CAM: Tell Me What You See, In Details! Feature-Level Interpretation via Decomposition Class Activation Map
Yuguang Yang
Runtang Guo
Shen-Te Wu
Yimi Wang
Juan Zhang
Xuan Gong
Baochang Zhang
229
1
0
27 May 2023
Rethinking interpretation: Input-agnostic saliency mapping of deep
  visual classifiers
Rethinking interpretation: Input-agnostic saliency mapping of deep visual classifiersAAAI Conference on Artificial Intelligence (AAAI), 2023
Naveed Akhtar
M. Jalwana
FAttAAML
218
7
0
31 Mar 2023
Explainable Image Quality Assessment for Medical Imaging
Explainable Image Quality Assessment for Medical Imaging
Caner Ozer
Arda Güler
A. Cansever
Ilkay Oksuz
245
4
0
25 Mar 2023
Better Understanding Differences in Attribution Methods via Systematic
  Evaluations
Better Understanding Differences in Attribution Methods via Systematic EvaluationsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Sukrut Rao
Moritz D Boehle
Bernt Schiele
XAI
244
8
0
21 Mar 2023
ICICLE: Interpretable Class Incremental Continual Learning
ICICLE: Interpretable Class Incremental Continual LearningIEEE International Conference on Computer Vision (ICCV), 2023
Dawid Rymarczyk
Joost van de Weijer
Bartosz Zieliñski
Bartlomiej Twardowski
CLL
351
33
0
14 Mar 2023
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts
ProtoSeg: Interpretable Semantic Segmentation with Prototypical PartsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Mikolaj Sacha
Dawid Rymarczyk
Lukasz Struski
Jacek Tabor
Bartosz Zieliñski
VLM
385
45
0
28 Jan 2023
Opti-CAM: Optimizing saliency maps for interpretability
Opti-CAM: Optimizing saliency maps for interpretabilityComputer Vision and Image Understanding (CVIU), 2023
Hanwei Zhang
Felipe Torres
R. Sicre
Yannis Avrithis
Stéphane Ayache
659
47
0
17 Jan 2023
MoreauGrad: Sparse and Robust Interpretation of Neural Networks via
  Moreau Envelope
MoreauGrad: Sparse and Robust Interpretation of Neural Networks via Moreau EnvelopeIEEE International Conference on Computer Vision (ICCV), 2023
Jingwei Zhang
Farzan Farnia
UQCV
184
5
0
08 Jan 2023
Interactive Visual Feature Search
Interactive Visual Feature Search
Devon Ulrich
Ruth C. Fong
FAtt
344
0
0
28 Nov 2022
OCTET: Object-aware Counterfactual Explanations
OCTET: Object-aware Counterfactual ExplanationsComputer Vision and Pattern Recognition (CVPR), 2022
Mehdi Zemni
Mickaël Chen
Éloi Zablocki
H. Ben-younes
Patrick Pérez
Matthieu Cord
AAML
364
38
0
22 Nov 2022
ViT-CX: Causal Explanation of Vision Transformers
ViT-CX: Causal Explanation of Vision TransformersInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Weiyan Xie
Xiao-hui Li
Caleb Chen Cao
Nevin L.Zhang
ViT
425
38
0
06 Nov 2022
The Weighting Game: Evaluating Quality of Explainability Methods
The Weighting Game: Evaluating Quality of Explainability MethodsScandinavian Conference on Image Analysis (SCIA), 2022
Lassi Raatikainen
Esa Rahtu
XAIFAtt
260
6
0
12 Aug 2022
Adaptive occlusion sensitivity analysis for visually explaining video
  recognition networks
Adaptive occlusion sensitivity analysis for visually explaining video recognition networks
Tomoki Uchiyama
Naoya Sogi
S. Iizuka
Koichiro Niinuma
Kazuhiro Fukui
368
3
0
26 Jul 2022
Explaining Dynamic Graph Neural Networks via Relevance Back-propagation
Explaining Dynamic Graph Neural Networks via Relevance Back-propagation
Jiaxuan Xie
Ruijie Du
Yanning Shen
FAtt
169
12
0
22 Jul 2022
Overlooked factors in concept-based explanations: Dataset choice,
  concept learnability, and human capability
Overlooked factors in concept-based explanations: Dataset choice, concept learnability, and human capabilityComputer Vision and Pattern Recognition (CVPR), 2022
V. V. Ramaswamy
Sunnie S. Y. Kim
Ruth C. Fong
Olga Russakovsky
FAtt
359
46
0
20 Jul 2022
Rethinking gradient weights' influence over saliency map estimation
Rethinking gradient weights' influence over saliency map estimationItalian National Conference on Sensors (INS), 2022
Masud An Nur Islam Fahim
Nazmus Saqib
Shafkat Khan Siam
H. Jung
FAtt
128
2
0
12 Jul 2022
What do navigation agents learn about their environment?
What do navigation agents learn about their environment?Computer Vision and Pattern Recognition (CVPR), 2022
Kshitij Dwivedi
Gemma Roig
Aniruddha Kembhavi
Roozbeh Mottaghi
214
13
0
17 Jun 2022
On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual
  Recognition
On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual RecognitionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Yue Song
Andrii Zadaianchuk
Wei Wang
267
41
0
26 May 2022
Learnable Visual Words for Interpretable Image Recognition
Learnable Visual Words for Interpretable Image Recognition
Wenxi Xiao
Zhengming Ding
Hongfu Liu
VLM
337
2
0
22 May 2022
Towards Better Understanding Attribution Methods
Towards Better Understanding Attribution MethodsComputer Vision and Pattern Recognition (CVPR), 2022
Sukrut Rao
Moritz Bohle
Bernt Schiele
XAI
328
42
0
20 May 2022
OccAM's Laser: Occlusion-based Attribution Maps for 3D Object Detectors
  on LiDAR Data
OccAM's Laser: Occlusion-based Attribution Maps for 3D Object Detectors on LiDAR DataComputer Vision and Pattern Recognition (CVPR), 2022
David Schinagl
Georg Krispel
Horst Possegger
P. Roth
Horst Bischof
3DPC
197
23
0
13 Apr 2022
Making Heads or Tails: Towards Semantically Consistent Visual
  Counterfactuals
Making Heads or Tails: Towards Semantically Consistent Visual CounterfactualsEuropean Conference on Computer Vision (ECCV), 2022
Simon Vandenhende
D. Mahajan
Filip Radenovic
Deepti Ghadiyaram
311
37
0
24 Mar 2022
Don't Get Me Wrong: How to Apply Deep Visual Interpretations to Time Series
Don't Get Me Wrong: How to Apply Deep Visual Interpretations to Time Series
Christoffer Loeffler
Wei-Cheng Lai
Bjoern M. Eskofier
Dario Zanca
Lukas M. Schmidt
Christopher Mutschler
AI4TSFAtt
430
7
0
14 Mar 2022
Do Explanations Explain? Model Knows Best
Do Explanations Explain? Model Knows BestComputer Vision and Pattern Recognition (CVPR), 2022
Ashkan Khakzar
Pedram J. Khorsandi
Rozhin Nobahari
Nassir Navab
XAIAAMLFAtt
120
28
0
04 Mar 2022
Keyword localisation in untranscribed speech using visually grounded
  speech models
Keyword localisation in untranscribed speech using visually grounded speech modelsIEEE Journal on Selected Topics in Signal Processing (IEEE JSTSP), 2022
Kayode Olaleye
Dan Oneaţă
Herman Kamper
252
7
0
02 Feb 2022
A Cognitive Explainer for Fetal ultrasound images classifier Based on Medical Concepts
A Cognitive Explainer for Fetal ultrasound images classifier Based on Medical Concepts
Ying-Shuai Wanga
Yunxia Liua
Licong Dongc
Xuzhou Wua
Huabin Zhangb
Qiongyu Yed
Desheng Sunc
Xiaobo Zhoue
Kehong Yuan
325
0
0
19 Jan 2022
Improving Deep Neural Network Classification Confidence using
  Heatmap-based eXplainable AI
Improving Deep Neural Network Classification Confidence using Heatmap-based eXplainable AI
Erico Tjoa
Hong Jing Khok
Tushar Chouhan
G. Cuntai
FAtt
340
6
0
30 Dec 2021
Interpretable Image Classification with Differentiable Prototypes
  Assignment
Interpretable Image Classification with Differentiable Prototypes AssignmentEuropean Conference on Computer Vision (ECCV), 2021
Dawid Rymarczyk
Lukasz Struski
Michal Górszczak
K. Lewandowska
Jacek Tabor
Bartosz Zieliñski
491
134
0
06 Dec 2021
STEEX: Steering Counterfactual Explanations with Semantics
STEEX: Steering Counterfactual Explanations with Semantics
P. Jacob
Éloi Zablocki
H. Ben-younes
Mickaël Chen
P. Pérez
Matthieu Cord
373
49
0
17 Nov 2021
Self-Interpretable Model with TransformationEquivariant Interpretation
Self-Interpretable Model with TransformationEquivariant Interpretation
Yipei Wang
Xiaoqian Wang
240
28
0
09 Nov 2021
Text Counterfactuals via Latent Optimization and Shapley-Guided Search
Text Counterfactuals via Latent Optimization and Shapley-Guided SearchConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Quintin Pope
Xiaoli Z. Fern
235
25
0
22 Oct 2021
Spatio-Temporal Perturbations for Video Attribution
Spatio-Temporal Perturbations for Video Attribution
Zhenqiang Li
Weimin Wang
Zuoyue Li
Yifei Huang
Yoichi Sato
160
9
0
01 Sep 2021
ProtoMIL: Multiple Instance Learning with Prototypical Parts for
  Whole-Slide Image Classification
ProtoMIL: Multiple Instance Learning with Prototypical Parts for Whole-Slide Image Classification
Dawid Rymarczyk
Adam Pardyl
Jaroslaw Kraus
Aneta Kaczyńska
M. Skomorowski
Bartosz Zieliñski
158
32
0
24 Aug 2021
Inverting and Understanding Object Detectors
Inverting and Understanding Object Detectors
Ang Cao
Justin Johnson
ObjD
274
3
0
26 Jun 2021
CAMERAS: Enhanced Resolution And Sanity preserving Class Activation
  Mapping for image saliency
CAMERAS: Enhanced Resolution And Sanity preserving Class Activation Mapping for image saliencyComputer Vision and Pattern Recognition (CVPR), 2021
M. Jalwana
Naveed Akhtar
Bennamoun
Lin Wang
231
66
0
20 Jun 2021
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