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Interpretable CNNs for Object Classification

Interpretable CNNs for Object Classification

8 January 2019
Quanshi Zhang
Xin Wang
Ying Nian Wu
Huilin Zhou
Song-Chun Zhu
ArXivPDFHTML

Papers citing "Interpretable CNNs for Object Classification"

15 / 15 papers shown
Title
Stylistic Multi-Task Analysis of Ukiyo-e Woodblock Prints
Stylistic Multi-Task Analysis of Ukiyo-e Woodblock Prints
Selina Khan
Nanne van Noord
58
4
0
16 Oct 2024
Layerwise Change of Knowledge in Neural Networks
Layerwise Change of Knowledge in Neural Networks
Xu Cheng
Lei Cheng
Zhaoran Peng
Yang Xu
Tian Han
Quanshi Zhang
KELM
FAtt
35
5
0
13 Sep 2024
Don't Forget Too Much: Towards Machine Unlearning on Feature Level
Don't Forget Too Much: Towards Machine Unlearning on Feature Level
Heng Xu
Tianqing Zhu
Wanlei Zhou
Wei Zhao
MU
49
5
0
16 Jun 2024
A Comprehensive Survey of Convolutions in Deep Learning: Applications,
  Challenges, and Future Trends
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends
Abolfazl Younesi
Mohsen Ansari
Mohammadamin Fazli
A. Ejlali
Muhammad Shafique
Joerg Henkel
3DV
54
45
0
23 Feb 2024
A matter of attitude: Focusing on positive and active gradients to boost
  saliency maps
A matter of attitude: Focusing on positive and active gradients to boost saliency maps
Oscar Llorente
Jaime Boal
Eugenio F. Sánchez-Úbeda
FAtt
15
0
0
22 Sep 2023
Schema Inference for Interpretable Image Classification
Schema Inference for Interpretable Image Classification
Haofei Zhang
Mengqi Xue
Xiaokang Liu
Kaixuan Chen
Mingli Song
Mingli Song
OCL
49
3
0
12 Mar 2023
Quantifying the Knowledge in a DNN to Explain Knowledge Distillation for
  Classification
Quantifying the Knowledge in a DNN to Explain Knowledge Distillation for Classification
Quanshi Zhang
Xu Cheng
Yilan Chen
Zhefan Rao
19
34
0
18 Aug 2022
Activation Template Matching Loss for Explainable Face Recognition
Activation Template Matching Loss for Explainable Face Recognition
Huawei Lin
Haozhe Liu
Qiufu Li
Linlin Shen
CVBM
29
1
0
05 Jul 2022
Semantic interpretation for convolutional neural networks: What makes a
  cat a cat?
Semantic interpretation for convolutional neural networks: What makes a cat a cat?
Haonan Xu
Yuntian Chen
Dongxiao Zhang
FAtt
33
3
0
16 Apr 2022
COIN: Counterfactual Image Generation for VQA Interpretation
COIN: Counterfactual Image Generation for VQA Interpretation
Zeyd Boukhers
Timo Hartmann
Jan Jurjens
21
7
0
10 Jan 2022
Learning Interpretable Concept Groups in CNNs
Learning Interpretable Concept Groups in CNNs
Saurabh Varshneya
Antoine Ledent
Robert A. Vandermeulen
Yunwen Lei
Matthias Enders
Damian Borth
Marius Kloft
18
6
0
21 Sep 2021
CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing
  Human Trust in Image Recognition Models
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
31
47
0
03 Sep 2021
Explainable Diabetic Retinopathy Detection and Retinal Image Generation
Explainable Diabetic Retinopathy Detection and Retinal Image Generation
Yuhao Niu
Lin Gu
Yitian Zhao
Feng Lu
MedIm
27
58
0
01 Jul 2021
Explainable Artificial Intelligence (XAI): An Engineering Perspective
Explainable Artificial Intelligence (XAI): An Engineering Perspective
F. Hussain
R. Hussain
E. Hossain
XAI
31
26
0
10 Jan 2021
Driving Behavior Explanation with Multi-level Fusion
Driving Behavior Explanation with Multi-level Fusion
H. Ben-younes
Éloi Zablocki
Patrick Pérez
Matthieu Cord
27
30
0
09 Dec 2020
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