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2012.02046
Cited By
Neural Prototype Trees for Interpretable Fine-grained Image Recognition
3 December 2020
Meike Nauta
Ron van Bree
C. Seifert
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Papers citing
"Neural Prototype Trees for Interpretable Fine-grained Image Recognition"
50 / 53 papers shown
Title
Decoupled Multimodal Prototypes for Visual Recognition with Missing Modalities
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Yuanyuan Qi
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Beyond Patches: Mining Interpretable Part-Prototypes for Explainable AI
Mahdi Alehdaghi
Rajarshi Bhattacharya
Pourya Shamsolmoali
Rafael M. O. Cruz
Maguelonne Heritier
Eric Granger
36
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0
16 Apr 2025
Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations
Indu Panigrahi
Sunnie S. Y. Kim
Amna Liaqat
Rohan Jinturkar
Olga Russakovsky
Ruth C. Fong
Parastoo Abtahi
FAtt
HAI
57
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0
14 Apr 2025
Enhancing Job Salary Prediction with Disentangled Composition Effect Modeling: A Neural Prototyping Approach
Yang Ji
Ying Sun
Hengshu Zhu
46
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0
17 Mar 2025
Interactive Medical Image Analysis with Concept-based Similarity Reasoning
Ta Duc Huy
Sen Kim Tran
Phan Nguyen
Nguyen Hoang Tran
Tran Bao Sam
A. Hengel
Zhibin Liao
Johan W. Verjans
Minh Nguyen Nhat To
Vu Minh Hieu Phan
41
0
0
10 Mar 2025
Disentangling Visual Transformers: Patch-level Interpretability for Image Classification
Guillaume Jeanneret
Loïc Simon
F. Jurie
ViT
44
0
0
24 Feb 2025
Uncertainty-Aware Explanations Through Probabilistic Self-Explainable Neural Networks
Jon Vadillo
Roberto Santana
J. A. Lozano
Marta Z. Kwiatkowska
BDL
AAML
65
0
0
17 Feb 2025
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable
Shreyash Arya
Sukrut Rao
Moritz Bohle
Bernt Schiele
68
2
0
28 Jan 2025
A Robust Prototype-Based Network with Interpretable RBF Classifier Foundations
S. Saralajew
Ashish Rana
T. Villmann
Ammar Shaker
OOD
82
1
0
20 Dec 2024
HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image Classification
C. Jin
Luyang Luo
Huangjing Lin
Jun Hou
Hao Chen
36
3
0
12 Nov 2024
EQ-CBM: A Probabilistic Concept Bottleneck with Energy-based Models and Quantized Vectors
Sangwon Kim
Dasom Ahn
B. Ko
In-su Jang
Kwang-Ju Kim
22
4
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22 Sep 2024
A prototype-based model for set classification
Mohammad Mohammadi
Sreejita Ghosh
VLM
101
1
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25 Aug 2024
Benchmarking the Attribution Quality of Vision Models
Robin Hesse
Simone Schaub-Meyer
Stefan Roth
FAtt
29
3
0
16 Jul 2024
PTaRL: Prototype-based Tabular Representation Learning via Space Calibration
Hangting Ye
Wei Fan
Xiaozhuang Song
Shun Zheng
He Zhao
Dandan Guo
Yi Chang
OOD
40
18
0
07 Jul 2024
What Sketch Explainability Really Means for Downstream Tasks
Hmrishav Bandyopadhyay
Pinaki Nath Chowdhury
A. Bhunia
Aneeshan Sain
Tao Xiang
Yi-Zhe Song
30
4
0
14 Mar 2024
3VL: Using Trees to Improve Vision-Language Models' Interpretability
Nir Yellinek
Leonid Karlinsky
Raja Giryes
CoGe
VLM
49
4
0
28 Dec 2023
Leveraging Habitat Information for Fine-grained Bird Identification
Tin Nguyen
Anh Nguyen
Anh Nguyen
VLM
36
0
0
22 Dec 2023
Prototypical Self-Explainable Models Without Re-training
Srishti Gautam
Ahcène Boubekki
Marina M.-C. Höhne
Michael C. Kampffmeyer
26
2
0
13 Dec 2023
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition
Chong Wang
Yuanhong Chen
Fengbei Liu
Yuyuan Liu
Davis J. McCarthy
Helen Frazer
Gustavo Carneiro
18
1
0
30 Nov 2023
ProtoArgNet: Interpretable Image Classification with Super-Prototypes and Argumentation [Technical Report]
Hamed Ayoobi
Nico Potyka
Francesca Toni
36
2
0
26 Nov 2023
Natural Example-Based Explainability: a Survey
Antonin Poché
Lucas Hervier
M. Bakkay
XAI
24
11
0
05 Sep 2023
UIPC-MF: User-Item Prototype Connection Matrix Factorization for Explainable Collaborative Filtering
Lei Pan
V. Soo
19
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0
14 Aug 2023
FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods
Robin Hesse
Simone Schaub-Meyer
Stefan Roth
AAML
32
32
0
11 Aug 2023
Take 5: Interpretable Image Classification with a Handful of Features
Thomas Norrenbrock
Marco Rudolph
Bodo Rosenhahn
FAtt
27
7
0
23 Mar 2023
ICICLE: Interpretable Class Incremental Continual Learning
Dawid Rymarczyk
Joost van de Weijer
Bartosz Zieliñski
Bartlomiej Twardowski
CLL
24
28
0
14 Mar 2023
PAMI: partition input and aggregate outputs for model interpretation
Wei Shi
Wentao Zhang
Weishi Zheng
Ruixuan Wang
FAtt
22
3
0
07 Feb 2023
Variational Information Pursuit for Interpretable Predictions
Aditya Chattopadhyay
Kwan Ho Ryan Chan
B. Haeffele
D. Geman
René Vidal
DRL
15
10
0
06 Feb 2023
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts
Mikolaj Sacha
Dawid Rymarczyk
Lukasz Struski
Jacek Tabor
Bartosz Zieliñski
VLM
30
29
0
28 Jan 2023
Hierarchical Explanations for Video Action Recognition
Sadaf Gulshad
Teng Long
N. V. Noord
FAtt
16
6
0
01 Jan 2023
Implicit Mixture of Interpretable Experts for Global and Local Interpretability
N. Elazar
Kerry Taylor
MoE
26
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0
01 Dec 2022
Towards Human-Interpretable Prototypes for Visual Assessment of Image Classification Models
Poulami Sinhamahapatra
Lena Heidemann
Maureen Monnet
Karsten Roscher
27
5
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22 Nov 2022
Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification
Yue Yang
Artemis Panagopoulou
Shenghao Zhou
Daniel Jin
Chris Callison-Burch
Mark Yatskar
35
211
0
21 Nov 2022
Care for the Mind Amid Chronic Diseases: An Interpretable AI Approach Using IoT
Jiaheng Xie
Xiaohang Zhao
Xiang Liu
Xiao Fang
OOD
36
2
0
08 Nov 2022
A Survey of Neural Trees
Haoling Li
Jie Song
Mengqi Xue
Haofei Zhang
Jingwen Ye
Lechao Cheng
Mingli Song
AI4CE
13
6
0
07 Sep 2022
Causality-Inspired Taxonomy for Explainable Artificial Intelligence
Pedro C. Neto
Tiago B. Gonccalves
João Ribeiro Pinto
W. Silva
Ana F. Sequeira
Arun Ross
Jaime S. Cardoso
XAI
26
12
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19 Aug 2022
Visual correspondence-based explanations improve AI robustness and human-AI team accuracy
Giang Nguyen
Mohammad Reza Taesiri
Anh Totti Nguyen
30
42
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26 Jul 2022
PARTICUL: Part Identification with Confidence measure using Unsupervised Learning
Romain Xu-Darme
Georges Quénot
Zakaria Chihani
M. Rousset
19
7
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27 Jun 2022
Learnable Visual Words for Interpretable Image Recognition
Wenxi Xiao
Zhengming Ding
Hongfu Liu
VLM
8
2
0
22 May 2022
Example-based Explanations with Adversarial Attacks for Respiratory Sound Analysis
Yi Chang
Zhao Ren
THANH VAN NGUYEN
Wolfgang Nejdl
Björn W. Schuller
AAML
20
14
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30 Mar 2022
Diffusion Models for Counterfactual Explanations
Guillaume Jeanneret
Loïc Simon
F. Jurie
DiffM
24
55
0
29 Mar 2022
Towards Disentangling Information Paths with Coded ResNeXt
Apostolos Avranas
Marios Kountouris
FAtt
17
1
0
10 Feb 2022
Metrics for saliency map evaluation of deep learning explanation methods
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Thomas Fréour
Harold Mouchère
XAI
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64
41
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31 Jan 2022
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
19
0
0
19 Jan 2022
HIVE: Evaluating the Human Interpretability of Visual Explanations
Sunnie S. Y. Kim
Nicole Meister
V. V. Ramaswamy
Ruth C. Fong
Olga Russakovsky
60
114
0
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Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes
Jonathan Donnelly
A. Barnett
Chaofan Chen
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127
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Toward a Unified Framework for Debugging Concept-based Models
A. Bontempelli
Fausto Giunchiglia
Andrea Passerini
Stefano Teso
18
4
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23 Sep 2021
BR-NPA: A Non-Parametric High-Resolution Attention Model to improve the Interpretability of Attention
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Suiyi Ling
Thomas Fréour
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10
5
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Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges
Cynthia Rudin
Chaofan Chen
Zhi Chen
Haiyang Huang
Lesia Semenova
Chudi Zhong
FaML
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48
651
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20 Mar 2021
This Looks Like That, Because ... Explaining Prototypes for Interpretable Image Recognition
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Annemarie Jutte
Jesper C. Provoost
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14
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BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
Boyan Zhou
Quan Cui
Xiu-Shen Wei
Zhao-Min Chen
245
782
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