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1908.02686
Cited By
Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks
Computer Vision and Pattern Recognition (CVPR), 2019
7 August 2019
Jörg Wagner
Jan M. Köhler
Tobias Gindele
Leon Hetzel
Thaddäus Wiedemer
Sven Behnke
AAML
FAtt
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Papers citing
"Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks"
50 / 55 papers shown
Attribution Explanations for Deep Neural Networks: A Theoretical Perspective
Huiqi Deng
Hongbin Pei
Quanshi Zhang
Mengnan Du
FAtt
199
1
0
11 Aug 2025
Fast-DataShapley: Neural Modeling for Training Data Valuation
Haifeng Sun
Yu Xiong
Runze Wu
Xinyu Cai
Changjie Fan
Lan Zhang
Xiang-Yang Li
TDI
458
0
0
05 Jun 2025
Probabilistic Stability Guarantees for Feature Attributions
Helen Jin
Anton Xue
Weiqiu You
Surbhi Goel
Eric Wong
585
10
0
18 Apr 2025
GIFT: A Framework Towards Global Interpretable Faithful Textual Explanations of Vision Classifiers
Éloi Zablocki
Valentin Gerard
Amaia Cardiel
Eric Gaussier
Matthieu Cord
Eduardo Valle
510
2
0
23 Nov 2024
SPES: Spectrogram Perturbation for Explainable Speech-to-Text Generation
Dennis Fucci
Marco Gaido
Beatrice Savoldi
Matteo Negri
Mauro Cettolo
L. Bentivogli
638
5
0
03 Nov 2024
Interpret the Predictions of Deep Networks via Re-Label Distillation
IEEE International Conference on Multimedia and Expo (ICME), 2021
Yingying Hua
Shiming Ge
Daichi Zhang
FAtt
361
0
0
20 Sep 2024
FovEx: Human-Inspired Explanations for Vision Transformers and Convolutional Neural Networks
International Journal of Computer Vision (IJCV), 2024
Mahadev Prasad Panda
Matteo Tiezzi
Martina G. Vilas
Gemma Roig
Bjoern M. Eskofier
Dario Zanca
ViT
AAML
449
2
0
04 Aug 2024
Reliable or Deceptive? Investigating Gated Features for Smooth Visual Explanations in CNNs
Soham Mitra
Atri Sukul
Swalpa Kumar Roy
Pravendra Singh
Vinay Kumar Verma
AAML
FAtt
218
1
0
30 Apr 2024
Feature CAM: Interpretable AI in Image Classification
Frincy Clement
Ji Yang
Irene Cheng
FAtt
146
4
0
08 Mar 2024
On Model Explanations with Transferable Neural Pathways
Xinmiao Lin
Wentao Bao
Qi Yu
Yu Kong
211
0
0
18 Sep 2023
FIND: A Function Description Benchmark for Evaluating Interpretability Methods
Neural Information Processing Systems (NeurIPS), 2023
Sarah Schwettmann
Tamar Rott Shaham
Joanna Materzyñska
Neil Chowdhury
Shuang Li
Jacob Andreas
David Bau
Antonio Torralba
371
34
0
07 Sep 2023
Towards Better Explanations for Object Detection
Asian Conference on Machine Learning (ACML), 2023
Van Binh Truong
Hung Truong Thanh Nguyen
Truong Thanh Hung Nguyen
Quoc Khanh Nguyen
Quoc Hung Cao
272
14
0
05 Jun 2023
ODAM: Gradient-based instance-specific visual explanations for object detection
International Conference on Learning Representations (ICLR), 2023
Chenyang Zhao
Antoni B. Chan
FAtt
223
13
0
13 Apr 2023
Empowering CAM-Based Methods with Capability to Generate Fine-Grained and High-Faithfulness Explanations
AAAI Conference on Artificial Intelligence (AAAI), 2023
Changqing Qiu
Fusheng Jin
Yining Zhang
FAtt
349
10
0
16 Mar 2023
MoreauGrad: Sparse and Robust Interpretation of Neural Networks via Moreau Envelope
IEEE International Conference on Computer Vision (ICCV), 2023
Jingwei Zhang
Farzan Farnia
UQCV
178
5
0
08 Jan 2023
OCTET: Object-aware Counterfactual Explanations
Computer Vision and Pattern Recognition (CVPR), 2022
Mehdi Zemni
Mickaël Chen
Éloi Zablocki
H. Ben-younes
Patrick Pérez
Matthieu Cord
AAML
356
37
0
22 Nov 2022
NeuroMapper: In-browser Visualizer for Neural Network Training
Zhiyan Zhou
Kevin Wenliang Li
Haekyu Park
Megan Dass
Austin P. Wright
Nilaksh Das
Duen Horng Chau
3DH
184
2
0
22 Oct 2022
"Is your explanation stable?": A Robustness Evaluation Framework for Feature Attribution
Conference on Computer and Communications Security (CCS), 2022
Yuyou Gan
Yuhao Mao
Xuhong Zhang
S. Ji
Yuwen Pu
Meng Han
Jianwei Yin
Ting Wang
FAtt
AAML
207
17
0
05 Sep 2022
Spatial-temporal Concept based Explanation of 3D ConvNets
Computer Vision and Pattern Recognition (CVPR), 2022
Yi Ji
Yu Wang
K. Mori
Jien Kato
3DPC
FAtt
200
13
0
09 Jun 2022
Fine-Grained Visual Entailment
European Conference on Computer Vision (ECCV), 2022
Christopher Thomas
Yipeng Zhang
Shih-Fu Chang
352
7
0
29 Mar 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI
ACM Computing Surveys (ACM CSUR), 2022
Meike Nauta
Jan Trienes
Shreyasi Pathak
Elisa Nguyen
Michelle Peters
Yasmin Schmitt
Jorg Schlotterer
M. V. Keulen
C. Seifert
ELM
XAI
761
622
0
20 Jan 2022
Making a Bird AI Expert Work for You and Me
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Dongliang Chang
Kaiyue Pang
Ruoyi Du
Zhanyu Ma
Yi-Zhe Song
Jun Guo
330
21
0
06 Dec 2021
Reinforcement Explanation Learning
Siddhant Agarwal
Owais Iqbal
Sree Aditya Buridi
Madda Manjusha
Abir Das
FAtt
161
0
0
26 Nov 2021
STEEX: Steering Counterfactual Explanations with Semantics
P. Jacob
Éloi Zablocki
H. Ben-younes
Mickaël Chen
P. Pérez
Matthieu Cord
364
49
0
17 Nov 2021
Gradient Frequency Modulation for Visually Explaining Video Understanding Models
British Machine Vision Conference (BMVC), 2021
Xinmiao Lin
Wentao Bao
Matthew Wright
Yu Kong
FAtt
AAML
317
2
0
01 Nov 2021
Explainable, automated urban interventions to improve pedestrian and vehicle safety
Transportation Research Part C: Emerging Technologies (TRC), 2021
Cristina Bustos
Daniel Rhoads
Albert Solé-Ribalta
David Masip
Alexandre Arenas
Àgata Lapedriza
Javier Borge-Holthoefer
186
36
0
22 Oct 2021
TSGB: Target-Selective Gradient Backprop for Probing CNN Visual Saliency
IEEE Transactions on Image Processing (TIP), 2021
Lin Cheng
Pengfei Fang
Yanjie Liang
Liao Zhang
Chunhua Shen
Hanzi Wang
FAtt
295
13
0
11 Oct 2021
Spatio-Temporal Perturbations for Video Attribution
Zhenqiang Li
Weimin Wang
Zuoyue Li
Yifei Huang
Yoichi Sato
148
9
0
01 Sep 2021
NeuralMVS: Bridging Multi-View Stereo and Novel View Synthesis
IEEE International Joint Conference on Neural Network (IJCNN), 2021
R. Rosu
Sven Behnke
3DV
211
11
0
09 Aug 2021
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review
International Conference on Automated Software Engineering (ASE), 2021
Florian Tambon
Gabriel Laberge
Le An
Amin Nikanjam
Paulina Stevia Nouwou Mindom
Y. Pequignot
Foutse Khomh
G. Antoniol
E. Merlo
François Laviolette
561
86
0
26 Jul 2021
Revisiting The Evaluation of Class Activation Mapping for Explainability: A Novel Metric and Experimental Analysis
Samuele Poppi
Marcella Cornia
Lorenzo Baraldi
Rita Cucchiara
FAtt
369
51
0
20 Apr 2021
Improving Attribution Methods by Learning Submodular Functions
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Piyushi Manupriya
Tarun Ram Menta
S. Jagarlapudi
V. Balasubramanian
TDI
354
6
0
19 Apr 2021
Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution
Knowledge Discovery and Data Mining (KDD), 2021
Huiqi Deng
Na Zou
Weifu Chen
Guo-Can Feng
Mengnan Du
Helen Zhou
FAtt
218
7
0
14 Apr 2021
Neural Response Interpretation through the Lens of Critical Pathways
Computer Vision and Pattern Recognition (CVPR), 2021
Ashkan Khakzar
Soroosh Baselizadeh
Saurabh Khanduja
Christian Rupprecht
Seong Tae Kim
Nassir Navab
158
42
0
31 Mar 2021
Building Reliable Explanations of Unreliable Neural Networks: Locally Smoothing Perspective of Model Interpretation
Computer Vision and Pattern Recognition (CVPR), 2021
Dohun Lim
Hyeonseok Lee
Sungchan Kim
FAtt
AAML
186
14
0
26 Mar 2021
Combining Similarity and Adversarial Learning to Generate Visual Explanation: Application to Medical Image Classification
International Conference on Pattern Recognition (ICPR), 2020
Martin Charachon
C´eline Hudelot
P. Cournède
Camille Ruppli
R. Ardon
AAML
GAN
FAtt
MedIm
175
7
0
14 Dec 2020
Zoom-CAM: Generating Fine-grained Pixel Annotations from Image Labels
International Conference on Pattern Recognition (ICPR), 2020
Xiangwei Shi
Seyran Khademi
Yun-qiang Li
Jan van Gemert
VLM
WSOL
308
25
0
16 Oct 2020
Visualizing Color-wise Saliency of Black-Box Image Classification Models
Asian Conference on Computer Vision (ACCV), 2020
Yuhki Hatakeyama
Hiroki Sakuma
Yoshinori Konishi
Kohei Suenaga
FAtt
282
4
0
06 Oct 2020
A Diagnostic Study of Explainability Techniques for Text Classification
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Pepa Atanasova
J. Simonsen
Christina Lioma
Isabelle Augenstein
XAI
FAtt
348
268
0
25 Sep 2020
Counterfactual Explanation Based on Gradual Construction for Deep Networks
Hong G Jung
Sin-Han Kang
Hee-Dong Kim
Dong-Ok Won
Seong-Whan Lee
OOD
FAtt
275
30
0
05 Aug 2020
Generative causal explanations of black-box classifiers
Neural Information Processing Systems (NeurIPS), 2020
Matthew R. O’Shaughnessy
Gregory H. Canal
Marissa Connor
Mark A. Davenport
Christopher Rozell
CML
414
81
0
24 Jun 2020
On Saliency Maps and Adversarial Robustness
Puneet Mangla
Vedant Singh
V. Balasubramanian
AAML
327
19
0
14 Jun 2020
MFPP: Morphological Fragmental Perturbation Pyramid for Black-Box Model Explanations
International Conference on Pattern Recognition (ICPR), 2020
Qing Yang
Xia Zhu
Jong-Kae Fwu
Yun Ye
Ganmei You
Yuan Zhu
AAML
282
26
0
04 Jun 2020
Towards Visually Explaining Video Understanding Networks with Perturbation
Zhenqiang Li
Weimin Wang
Zuoyue Li
Yifei Huang
Yoichi Sato
FAtt
227
3
0
01 May 2020
Perturb More, Trap More: Understanding Behaviors of Graph Neural Networks
Neurocomputing (Neurocomputing), 2020
Chaojie Ji
Ruxin Wang
Hongyan Wu
301
10
0
21 Apr 2020
SAM: The Sensitivity of Attribution Methods to Hyperparameters
Naman Bansal
Chirag Agarwal
Anh Nguyen
FAtt
217
0
0
04 Mar 2020
Explaining Classifiers using Adversarial Perturbations on the Perceptual Ball
Andrew Elliott
Stephen Law
Chris Russell
AAML
333
4
0
19 Dec 2019
Iterative and Adaptive Sampling with Spatial Attention for Black-Box Model Explanations
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019
Bhavan Kumar Vasu
Chengjiang Long
FAtt
136
12
0
18 Dec 2019
Attributional Robustness Training using Input-Gradient Spatial Alignment
M. Singh
Nupur Kumari
Puneet Mangla
Abhishek Sinha
V. Balasubramanian
Balaji Krishnamurthy
OOD
466
10
0
29 Nov 2019
Improving Feature Attribution through Input-specific Network Pruning
Ashkan Khakzar
Soroosh Baselizadeh
Saurabh Khanduja
Christian Rupprecht
S. T. Kim
Nassir Navab
FAtt
375
13
0
25 Nov 2019
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