v1v2 (latest)

Interpretable Image Classification with Differentiable Prototypes Assignment

6 December 2021

Papers citing "Interpretable Image Classification with Differentiable Prototypes Assignment"

50 / 67 papers shown

Title
Decoupled Multimodal Prototypes for Visual Recognition with Missing Modalities Jueqing Lu Yuanyuan Qi Xiaohao Yang Shujie Zhou Lan Du 89 0 0 13 May 2025
Interpretable Affordance Detection on 3D Point Clouds with Probabilistic Prototypes M. Li Korbinian Franz Rudolf Nils Blank Rudolf Lioutikov 3DPC 77 0 0 25 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 257 1 0 14 Apr 2025
Interpretable Image Classification via Non-parametric Part Prototype Learning Zhijie Zhu Lei Fan Maurice Pagnucco Yang Song 128 0 0 13 Mar 2025
Birds look like cars: Adversarial analysis of intrinsically interpretable deep learning Hubert Baniecki P. Biecek AAML 128 0 0 11 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 Anton Van Den Hengel Zhibin Liao Johan Verjans Minh-Son To Vu Minh Hieu Phan 96 0 0 10 Mar 2025
Exploring Interpretability for Visual Prompt Tuning with Hierarchical Concepts Yubin Wang Xinyang Jiang De Cheng Xiangqian Zhao Zilong Wang Dongsheng Li Cairong Zhao VLM 165 0 0 08 Mar 2025
QPM: Discrete Optimization for Globally Interpretable Image Classification Thomas Norrenbrock Timo Kaiser Sovan Biswas R. Manuvinakurike Bodo Rosenhahn 166 0 0 27 Feb 2025
Tell me why: Visual foundation models as self-explainable classifiers Hugues Turbé Mina Bjelogrlic G. Mengaldo Christian Lovis 190 0 0 26 Feb 2025
Disentangling Visual Transformers: Patch-level Interpretability for Image Classification Guillaume Jeanneret Loïc Simon F. Jurie ViT 180 0 0 24 Feb 2025
This looks like what? Challenges and Future Research Directions for Part-Prototype Models Khawla Elhadri Tomasz Michalski Adam Wróbel Jorg Schlotterer Bartosz Zieliñski C. Seifert 144 1 0 13 Feb 2025
OMENN: One Matrix to Explain Neural Networks Adam Wróbel Mikołaj Janusz Bartosz Zieliñski Dawid Rymarczyk FAtt AAML 153 0 0 03 Dec 2024
Interpretable Image Classification with Adaptive Prototype-based Vision Transformers Chiyu Ma J. Donnelly Wenjun Liu Soroush Vosoughi Cynthia Rudin Chaofan Chen ViT 86 8 0 28 Oct 2024
Exploiting Interpretable Capabilities with Concept-Enhanced Diffusion and Prototype Networks Alba Carballo-Castro Sonia Laguna Moritz Vandenhirtz Julia E. Vogt DiffM 89 1 0 24 Oct 2024
Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks Junlin Hou Sicen Liu Yequan Bie Hongmei Wang Andong Tan Luyang Luo Hao Chen XAI 122 5 0 03 Oct 2024
CaBRNet, an open-source library for developing and evaluating Case-Based Reasoning Models Romain Xu-Darme Aymeric Varasse Alban Grastien Julien Girard Zakaria Chihani 42 0 0 25 Sep 2024
InfoDisent: Explainability of Image Classification Models by Information Disentanglement Łukasz Struski Dawid Rymarczyk Jacek Tabor 137 1 0 16 Sep 2024
A prototype-based model for set classification Mohammad Mohammadi Sreejita Ghosh VLM 217 1 0 25 Aug 2024
Revisiting FunnyBirds evaluation framework for prototypical parts networks Szymon Opłatek Dawid Rymarczyk Bartosz Zieliñski 55 3 0 21 Aug 2024
Semantic Prototypes: Enhancing Transparency Without Black Boxes Orfeas Menis Mastromichalakis Giorgos Filandrianos Jason Liartis Edmund Dervakos Giorgos Stamou 85 2 0 18 Jul 2024
This Looks Better than That: Better Interpretable Models with ProtoPNeXt Frank Willard Luke Moffett Emmanuel Mokel Jon Donnelly Stark Guo Julia Yang Giyoung Kim Alina Jade Barnett Cynthia Rudin 94 5 0 20 Jun 2024
ProtoS-ViT: Visual foundation models for sparse self-explainable classifications Hugues Turbé Mina Bjelogrlic G. Mengaldo Christian Lovis ViT 87 7 0 14 Jun 2024
FPN-IAIA-BL: A Multi-Scale Interpretable Deep Learning Model for Classification of Mass Margins in Digital Mammography Julia Yang Alina Jade Barnett Jon Donnelly Satvik Kishore Jerry Fang F. Schwartz Chaofan Chen Joseph Y. Lo Cynthia Rudin MedIm 67 1 0 10 Jun 2024
Post-hoc Part-prototype Networks Andong Tan Fengtao Zhou Hao Chen 72 5 0 05 Jun 2024
LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision Mateusz Pach Dawid Rymarczyk K. Lewandowska Jacek Tabor Bartosz Zieliñski 90 8 0 23 May 2024
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey Rokas Gipiškis Chun-Wei Tsai Olga Kurasova 110 11 0 02 May 2024
DP-Net: Learning Discriminative Parts for image recognition R. Sicre Hanwei Zhang Julien Dejasmin Chiheb Daaloul Stéphane Ayache Thierry Artières 63 0 0 23 Apr 2024
CoProNN: Concept-based Prototypical Nearest Neighbors for Explaining Vision Models Teodor Chiaburu Frank Haußer Felix Bießmann 79 4 0 23 Apr 2024
AudioProtoPNet: An interpretable deep learning model for bird sound classification René Heinrich Bernhard Sick Christoph Scholz 104 2 0 16 Apr 2024
MCPNet: An Interpretable Classifier via Multi-Level Concept Prototypes Bor-Shiun Wang Chien-Yi Wang Wei-Chen Chiu 82 3 0 13 Apr 2024
Prototype-based Interpretable Breast Cancer Prediction Models: Analysis and Challenges Shreyasi Pathak Jorg Schlotterer Jeroen Veltman J. Geerdink M. V. Keulen Christin Seifert 88 4 0 29 Mar 2024
PIPNet3D: Interpretable Detection of Alzheimer in MRI Scans Lisa Anita De Santi Jorg Schlotterer Michael Scheschenja Joel Wessendorf Meike Nauta Vincenzo Positano Christin Seifert MedIm 47 3 0 27 Mar 2024
On the Concept Trustworthiness in Concept Bottleneck Models Qihan Huang Mingli Song Jingwen Hu Haofei Zhang Yong Wang Mingli Song 112 11 0 21 Mar 2024
ComFe: An Interpretable Head for Vision Transformers Evelyn J. Mannix H. Bondell Howard Bondell VLM ViT 104 1 0 07 Mar 2024
ViTree: Single-path Neural Tree for Step-wise Interpretable Fine-grained Visual Categorization Danning Lao Qi Liu Jiazi Bu Junchi Yan Wei Shen 69 1 0 30 Jan 2024
Q-SENN: Quantized Self-Explaining Neural Networks Thomas Norrenbrock Marco Rudolph Bodo Rosenhahn FAtt AAML MILM 106 7 0 21 Dec 2023
Concept-based Explainable Artificial Intelligence: A Survey Eleonora Poeta Gabriele Ciravegna Eliana Pastor Tania Cerquitelli Elena Baralis LRM XAI 110 56 0 20 Dec 2023
Prototypical Self-Explainable Models Without Re-training Srishti Gautam Ahcène Boubekki Marina M.-C. Höhne Michael C. Kampffmeyer 109 2 0 13 Dec 2023
FeaInfNet: Diagnosis in Medical Image with Feature-Driven Inference and Visual Explanations Yitao Peng Lianghua He D. Hu Yihang Liu Longzhen Yang Shaohua Shang FAtt 86 0 0 04 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 168 1 0 30 Nov 2023
ProtoArgNet: Interpretable Image Classification with Super-Prototypes and Argumentation [Technical Report] Hamed Ayoobi Nico Potyka Francesca Toni 80 3 0 26 Nov 2023
Advancing Post Hoc Case Based Explanation with Feature Highlighting Eoin M. Kenny Eoin Delaney Markt. Keane 76 5 0 06 Nov 2023
This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations Chiyu Ma Brandon Zhao Chaofan Chen Cynthia Rudin 99 29 0 28 Oct 2023
Sanity checks for patch visualisation in prototype-based image classification Romain Xu-Darme Georges Quénot Zakaria Chihani M. Rousset 63 6 0 25 Oct 2023
On the Interpretability of Part-Prototype Based Classifiers: A Human Centric Analysis Omid Davoodi Shayan Mohammadizadehsamakosh Majid Komeili 93 11 0 10 Oct 2023
Pixel-Grounded Prototypical Part Networks Zachariah Carmichael Suhas Lohit A. Cherian Michael Jeffrey Jones Walter J. Scheirer 113 11 0 25 Sep 2023
I-AI: A Controllable & Interpretable AI System for Decoding Radiologists' Intense Focus for Accurate CXR Diagnoses Trong-Thang Pham Jacob Brecheisen Anh Nguyen Hien Nguyen Ngan Le 75 15 0 24 Sep 2023
PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and Humans Giang Nguyen Valerie Chen Mohammad Reza Taesiri Anh Totti Nguyen 94 4 0 25 Aug 2023
Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations Mikolaj Sacha Bartosz Jura Dawid Rymarczyk Lukasz Struski Jacek Tabor Bartosz Zieliñski 70 14 0 16 Aug 2023
The Co-12 Recipe for Evaluating Interpretable Part-Prototype Image Classifiers Meike Nauta Christin Seifert 103 12 0 26 Jul 2023