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Neural Prototype Trees for Interpretable Fine-grained Image Recognition
v1v2 (latest)

Neural Prototype Trees for Interpretable Fine-grained Image Recognition

Computer Vision and Pattern Recognition (CVPR), 2020
3 December 2020
Meike Nauta
Ron van Bree
C. Seifert
ArXiv (abs)PDFHTMLGithub (101★)

Papers citing "Neural Prototype Trees for Interpretable Fine-grained Image Recognition"

50 / 180 papers shown
What You See is (Usually) What You Get: Multimodal Prototype Networks that Abstain from Expensive Modalities
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Muchang Bahng
Charlie Berens
Jon Donnelly
Eric Chen
Chaofan Chen
Cynthia Rudin
122
0
0
24 Nov 2025
Towards Open-Ended Visual Scientific Discovery with Sparse Autoencoders
Towards Open-Ended Visual Scientific Discovery with Sparse Autoencoders
Samuel Stevens
Jacob Beattie
T. Berger-Wolf
Yu-Chuan Su
138
1
0
21 Nov 2025
Formal Abductive Latent Explanations for Prototype-Based Networks
Formal Abductive Latent Explanations for Prototype-Based Networks
Jules Soria
Zakaria Chihani
Julien Girard-Satabin
Alban Grastien
Romain Xu-Darme
Daniela Cancila
203
2
0
20 Nov 2025
Towards the Formalization of a Trustworthy AI for Mining Interpretable Models explOiting Sophisticated Algorithms
Towards the Formalization of a Trustworthy AI for Mining Interpretable Models explOiting Sophisticated Algorithms
Riccardo Guidotti
Martina Cinquini
Marta Marchiori Manerba
Mattia Setzu
Francesco Spinnato
192
0
0
23 Oct 2025
This EEG Looks Like These EEGs: Interpretable Interictal Epileptiform Discharge Detection With ProtoEEG-kNN
This EEG Looks Like These EEGs: Interpretable Interictal Epileptiform Discharge Detection With ProtoEEG-kNNInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Dennis Tang
Jon Donnelly
A. Barnett
Lesia Semenova
J. Jing
...
Ioannis Karakis
Olga Selioutski
Kehan Zhao
M. P. M. Brandon Westover
Cynthia Rudin
174
1
0
21 Oct 2025
Think as a Doctor: An Interpretable AI Approach for ICU Mortality Prediction
Think as a Doctor: An Interpretable AI Approach for ICU Mortality Prediction
Qingwen Li
Xiaohang Zhao
Xiao Han
Hailiang Huang
Lanjuan Liu
162
1
0
11 Oct 2025
Concept Retrieval -- What and How?
Concept Retrieval -- What and How?
Ori Nizan
Oren Shrout
A. Tal
299
0
0
08 Oct 2025
How Different from the Past? Spatio-Temporal Time Series Forecasting with Self-Supervised Deviation Learning
How Different from the Past? Spatio-Temporal Time Series Forecasting with Self-Supervised Deviation Learning
Haotian Gao
Zheng Dong
Jiawei Yong
Shintaro Fukushima
Kenjiro Taura
Renhe Jiang
AI4TS
189
3
0
06 Oct 2025
ProtoMask: Segmentation-Guided Prototype Learning
ProtoMask: Segmentation-Guided Prototype Learning
Steffen Meinert
Philipp Schlinge
Nils Strodthoff
Martin Atzmueller
204
0
0
01 Oct 2025
xAI-CV: An Overview of Explainable Artificial Intelligence in Computer Vision
xAI-CV: An Overview of Explainable Artificial Intelligence in Computer Vision
Nguyen Van Tu
Pham Nguyen Hai Long
Vo Hoai Viet
226
0
0
23 Sep 2025
SIDE: Sparse Information Disentanglement for Explainable Artificial Intelligence
SIDE: Sparse Information Disentanglement for Explainable Artificial Intelligence
Viktar Dubovik
Łukasz Struski
Jacek Tabor
Dawid Rymarczyk
339
1
0
25 Jul 2025
Counterfactual Visual Explanation via Causally-Guided Adversarial Steering
Counterfactual Visual Explanation via Causally-Guided Adversarial Steering
Yiran Qiao
Disheng Liu
Yiren Lu
Yu Yin
Mengnan Du
Jing Ma
GANCMLAAML
326
1
0
14 Jul 2025
Comprehensive Evaluation of Prototype Neural Networks
Comprehensive Evaluation of Prototype Neural Networks
Philipp Schlinge
Steffen Meinert
Martin Atzmueller
343
2
0
09 Jul 2025
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image Analysis
Marzieh Oghbaie
Teresa Araújoa
Hrvoje Bogunović
ViTMedIm
405
0
0
12 Jun 2025
Investigating Mask-aware Prototype Learning for Tabular Anomaly Detection
Investigating Mask-aware Prototype Learning for Tabular Anomaly Detection
Ruiying Lu
Jinhan Liu
Chuan Du
D. Guo
OODAAML
241
0
0
03 Jun 2025
Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification
Proto-FG3D: Prototype-based Interpretable Fine-Grained 3D Shape Classification
Shuxian Ma
Zihao Dong
Runmin Cong
Sam Kwong
Xiuli Shao
270
0
0
23 May 2025
DPL: Decoupled Prototype Learning for Enhancing Robustness of Vision-Language Transformers to Missing Modalities
DPL: Decoupled Prototype Learning for Enhancing Robustness of Vision-Language Transformers to Missing Modalities
Jueqing Lu
Yuanyuan Qi
Xiaohao Yang
Shuaicheng Niu
Lan Du
...
Wei Tan
Jionghao Lin
Wray Buntine
Hamid Rezatofighi
Lan Du
393
1
0
13 May 2025
From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks
From GNNs to Trees: Multi-Granular Interpretability for Graph Neural NetworksInternational Conference on Learning Representations (ICLR), 2025
Jie Yang
Yuwen Wang
Kaixuan Chen
Tongya Zheng
Yihe Zhou
Zhenbang Xiao
Ji Cao
Mingli Song
Shixuan Liu
AI4CE
389
4
0
01 May 2025
Beyond Patches: Mining Interpretable Part-Prototypes for Explainable AI
Beyond Patches: Mining Interpretable Part-Prototypes for Explainable AI
Mahdi Alehdaghi
Rajarshi Bhattacharya
Pourya Shamsolmoali
Rafael M. O. Cruz
Maguelonne Heritier
Mohammadhadi Shateri
508
1
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16 Apr 2025
Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations
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
FAttHAI
529
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14 Apr 2025
Language Guided Concept Bottleneck Models for Interpretable Continual Learning
Language Guided Concept Bottleneck Models for Interpretable Continual LearningComputer Vision and Pattern Recognition (CVPR), 2025
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Haoyu Han
Zhe Tao
Hantao Yao
Changsheng Xu
CLL
289
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CoE: Chain-of-Explanation via Automatic Visual Concept Circuit Description and Polysemanticity Quantification
CoE: Chain-of-Explanation via Automatic Visual Concept Circuit Description and Polysemanticity QuantificationComputer Vision and Pattern Recognition (CVPR), 2025
Wenlong Yu
Qilong Wang
Chuang Liu
Dong Li
Q. Hu
LRM
355
6
0
19 Mar 2025
Enhancing Job Salary Prediction with Disentangled Composition Effect Modeling: A Neural Prototyping Approach
Enhancing Job Salary Prediction with Disentangled Composition Effect Modeling: A Neural Prototyping Approach
Yang Ji
Ying Sun
Hengshu Zhu
494
4
0
17 Mar 2025
Interpretable 3D Neural Object Volumes for Robust Conceptual Reasoning
Interpretable 3D Neural Object Volumes for Robust Conceptual Reasoning
Nhi Pham
Bernt Schiele
Bernt Schiele
Adam Kortylewski
Jonas Fischer
355
0
0
17 Mar 2025
Birds look like cars: Adversarial analysis of intrinsically interpretable deep learning
Birds look like cars: Adversarial analysis of intrinsically interpretable deep learning
Hubert Baniecki
P. Biecek
AAML
481
4
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11 Mar 2025
Interactive Medical Image Analysis with Concept-based Similarity Reasoning
Interactive Medical Image Analysis with Concept-based Similarity ReasoningComputer Vision and Pattern Recognition (CVPR), 2025
Ta Duc Huy
Sen Kim Tran
Phan Nguyen
Nguyen Hoang Tran
Tran Bao Sam
Anton Van Den Hengel
Zhibin Liao
Johan Verjans
Minh-Son To
Vu Minh Hieu Phan
357
11
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10 Mar 2025
Exploring Interpretability for Visual Prompt Tuning with Cross-layer Concepts
Exploring Interpretability for Visual Prompt Tuning with Cross-layer Concepts
Yubin Wang
Xinyang Jiang
De Cheng
Xiangqian Zhao
Zilong Wang
Dongsheng Li
Cairong Zhao
VLM
472
2
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08 Mar 2025
Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time
Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-TimeComputer Vision and Pattern Recognition (CVPR), 2025
J. Donnelly
Zhicheng Guo
A. Barnett
Hayden McTavish
Chaofan Chen
Cynthia Rudin
486
13
0
03 Mar 2025
QPM: Discrete Optimization for Globally Interpretable Image Classification
QPM: Discrete Optimization for Globally Interpretable Image ClassificationInternational Conference on Learning Representations (ICLR), 2025
Thomas Norrenbrock
Timo Kaiser
Sovan Biswas
R. Manuvinakurike
Bodo Rosenhahn
456
3
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27 Feb 2025
Tell me why: Visual foundation models as self-explainable classifiers
Tell me why: Visual foundation models as self-explainable classifiers
Hugues Turbé
Mina Bjelogrlic
G. Mengaldo
Christian Lovis
542
3
0
26 Feb 2025
Disentangling Visual Transformers: Patch-level Interpretability for Image Classification
Disentangling Visual Transformers: Patch-level Interpretability for Image Classification
Guillaume Jeanneret
Loïc Simon
F. Jurie
ViT
542
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0
24 Feb 2025
This looks like what? Challenges and Future Research Directions for Part-Prototype Models
This looks like what? Challenges and Future Research Directions for Part-Prototype Models
Khawla Elhadri
Tomasz Michalski
Adam Wróbel
Jorg Schlotterer
Bartosz Zieliñski
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352
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B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable
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Shreyash Arya
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A Robust Prototype-Based Network with Interpretable RBF Classifier Foundations
A Robust Prototype-Based Network with Interpretable RBF Classifier FoundationsAAAI Conference on Artificial Intelligence (AAAI), 2024
S. Saralajew
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Ammar Shaker
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Language Model as Visual ExplainerNeural Information Processing Systems (NeurIPS), 2024
Xingyi Yang
Xinchao Wang
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HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image Classification
HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image ClassificationIEEE Transactions on Medical Imaging (IEEE TMI), 2024
Cheng Jin
Luyang Luo
Huangjing Lin
Jun Hou
Hao Chen
602
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Learning local discrete features in explainable-by-design convolutional
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Learning local discrete features in explainable-by-design convolutional neural networks
Pantelis I. Kaplanoglou
Konstantinos Diamantaras
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386
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Interpretable Image Classification with Adaptive Prototype-based Vision
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Interpretable Image Classification with Adaptive Prototype-based Vision TransformersNeural Information Processing Systems (NeurIPS), 2024
Chiyu Ma
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Wenjun Liu
Soroush Vosoughi
Cynthia Rudin
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Prototypical Hash Encoding for On-the-Fly Fine-Grained Category
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Haiyang Zheng
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Andrii Zadaianchuk
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Exploiting Interpretable Capabilities with Concept-Enhanced Diffusion
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Sonia Laguna
Moritz Vandenhirtz
Julia E. Vogt
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354
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Prototype-Based Methods in Explainable AI and Emerging Opportunities in
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Self-eXplainable AI for Medical Image Analysis: A Survey and New
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Deep Model Interpretation with Limited Data : A Coreset-based Approach
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CaBRNet, an open-source library for developing and evaluating Case-Based
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Aymeric Varasse
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224
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EQ-CBM: A Probabilistic Concept Bottleneck with Energy-based Models and
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A prototype-based model for set classification
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