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1901.02413
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Interpretable CNNs for Object Classification
8 January 2019
Quanshi Zhang
Xin Eric Wang
Ying Nian Wu
Huilin Zhou
Song-Chun Zhu
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Papers citing
"Interpretable CNNs for Object Classification"
15 / 15 papers shown
Stylistic Multi-Task Analysis of Ukiyo-e Woodblock Prints
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Layerwise Change of Knowledge in Neural Networks
International Conference on Machine Learning (ICML), 2024
Xu Cheng
Lei Cheng
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Yang Xu
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Quanshi Zhang
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280
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Don't Forget Too Much: Towards Machine Unlearning on Feature Level
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Wei Zhao
MU
231
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16 Jun 2024
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends
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Mohsen Ansari
Mohammadamin Fazli
A. Ejlali
Muhammad Shafique
Joerg Henkel
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23 Feb 2024
A matter of attitude: Focusing on positive and active gradients to boost saliency maps
Oscar Llorente
Jaime Boal
Eugenio F. Sánchez-Úbeda
FAtt
141
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0
22 Sep 2023
Schema Inference for Interpretable Image Classification
International Conference on Learning Representations (ICLR), 2023
Haofei Zhang
Mengqi Xue
Xiaokang Liu
Kaixuan Chen
Mingli Song
Weilong Dai
OCL
248
4
0
12 Mar 2023
Quantifying the Knowledge in a DNN to Explain Knowledge Distillation for Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Quanshi Zhang
Feng He
Yilan Chen
Zhefan Rao
209
46
0
18 Aug 2022
Activation Template Matching Loss for Explainable Face Recognition
IEEE International Conference on Automatic Face & Gesture Recognition (FG), 2022
Huawei Lin
Haozhe Liu
Qiufu Li
Linlin Shen
CVBM
209
2
0
05 Jul 2022
Semantic interpretation for convolutional neural networks: What makes a cat a cat?
Advancement of science (AS), 2022
Haonan Xu
Yuntian Chen
Dongxiao Zhang
FAtt
188
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0
16 Apr 2022
COIN: Counterfactual Image Generation for VQA Interpretation
Zeyd Boukhers
Timo Hartmann
Jan Jurjens
164
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10 Jan 2022
Learning Interpretable Concept Groups in CNNs
Saurabh Varshneya
Antoine Ledent
Robert A. Vandermeulen
Yunwen Lei
Matthias Enders
Damian Borth
Matthias Kirchler
216
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0
21 Sep 2021
CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition Models
Arjun Reddy Akula
Keze Wang
Changsong Liu
Sari Saba-Sadiya
Hongjing Lu
S. Todorovic
J. Chai
Song-Chun Zhu
295
57
0
03 Sep 2021
Explainable Diabetic Retinopathy Detection and Retinal Image Generation
IEEE journal of biomedical and health informatics (JBHI), 2021
Yuhao Niu
Lin Gu
Yitian Zhao
Feng Lu
MedIm
116
68
0
01 Jul 2021
Explainable Artificial Intelligence (XAI): An Engineering Perspective
F. Hussain
R. Hussain
E. Hossain
XAI
181
33
0
10 Jan 2021
Driving Behavior Explanation with Multi-level Fusion
Pattern Recognition (Pattern Recognit.), 2020
H. Ben-younes
Éloi Zablocki
Patrick Pérez
Matthieu Cord
148
37
0
09 Dec 2020
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