Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes

29 November 2021

Papers citing "Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes"

50 / 87 papers shown

Title
Interpretable Affordance Detection on 3D Point Clouds with Probabilistic Prototypes M. Li Korbinian Franz Rudolf Nils Blank Rudolf Lioutikov 3DPC 34 0 0 25 Apr 2025
Can Masked Autoencoders Also Listen to Birds? Lukas Rauch Ilyass Moummad René Heinrich Alexis Joly Bernhard Sick Christoph Scholz 29 0 0 17 Apr 2025
Beyond Patches: Mining Interpretable Part-Prototypes for Explainable AI Mahdi Alehdaghi Rajarshi Bhattacharya Pourya Shamsolmoali Rafael M. O. Cruz Maguelonne Heritier Eric Granger 36 0 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 0 0 14 Apr 2025
Language Guided Concept Bottleneck Models for Interpretable Continual Learning Lu Yu Haoyu Han Zhe Tao Hantao Yao Changsheng Xu CLL 60 0 0 30 Mar 2025
Patronus: Bringing Transparency to Diffusion Models with Prototypes Nina Weng Aasa Feragen Siavash Bigdeli DiffM 41 0 0 28 Mar 2025
Interpretable Image Classification via Non-parametric Part Prototype Learning Zhijie Zhu Lei Fan M. Pagnucco Yang Song 41 0 0 13 Mar 2025
Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time J. Donnelly Zhicheng Guo A. Barnett Hayden McTavish Chaofan Chen Cynthia Rudin 63 0 0 03 Mar 2025
Tell me why: Visual foundation models as self-explainable classifiers Hugues Turbé Mina Bjelogrlic G. Mengaldo Christian Lovis 69 0 0 26 Feb 2025
Disentangling Visual Transformers: Patch-level Interpretability for Image Classification Guillaume Jeanneret Loïc Simon F. Jurie ViT 49 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 86 0 0 13 Feb 2025
Sparse Autoencoders for Scientifically Rigorous Interpretation of Vision Models Samuel Stevens Wei-Lun Chao T. Berger-Wolf Yu-Chuan Su VLM 74 2 0 10 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
COMIX: Compositional Explanations using Prototypes S. Sivaprasad D. Kangin Plamen Angelov Mario Fritz 145 0 0 10 Jan 2025
Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation Chong Wang Fengbei Liu Yuanhong Chen Helen Frazer Gustavo Carneiro 32 2 0 07 Nov 2024
Interpretable Image Classification with Adaptive Prototype-based Vision Transformers Chiyu Ma J. Donnelly Wenjun Liu Soroush Vosoughi Cynthia Rudin Chaofan Chen ViT 39 8 0 28 Oct 2024
Prototypical Hash Encoding for On-the-Fly Fine-Grained Category Discovery Haiyang Zheng Nan Pu Wenjing Li N. Sebe Zhun Zhong 26 2 0 24 Oct 2024
Prototype-Based Methods in Explainable AI and Emerging Opportunities in the Geosciences Anushka Narayanan Karianne J. Bergen 29 1 0 22 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 25 3 0 03 Oct 2024
InfoDisent: Explainability of Image Classification Models by Information Disentanglement Łukasz Struski Dawid Rymarczyk Jacek Tabor 59 0 0 16 Sep 2024
MulCPred: Learning Multi-modal Concepts for Explainable Pedestrian Action Prediction Yan Feng Alexander Carballo Keisuke Fujii Robin Karlsson Ming Ding K. Takeda 31 0 0 14 Sep 2024
Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation Hugo Porta Emanuele Dalsasso Diego Marcos D. Tuia 95 0 0 14 Sep 2024
Enhanced Prototypical Part Network (EPPNet) For Explainable Image Classification Via Prototypes Bhushan Atote Victor Sanchez 18 0 0 08 Aug 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 37 4 0 20 Jun 2024
ProtoS-ViT: Visual foundation models for sparse self-explainable classifications Hugues Turbé Mina Bjelogrlic G. Mengaldo Christian Lovis ViT 26 6 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 32 1 0 10 Jun 2024
Post-hoc Part-prototype Networks Andong Tan Fengtao Zhou Hao Chen 27 5 0 05 Jun 2024
How Video Meetings Change Your Expression Sumit Sarin Utkarsh Mall Purva Tendulkar Carl Vondrick CVBM 37 0 0 03 Jun 2024
LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision Mateusz Pach Dawid Rymarczyk K. Lewandowska Jacek Tabor Bartosz Zieliñski 34 7 0 23 May 2024
Improving Concept Alignment in Vision-Language Concept Bottleneck Models Nithish Muthuchamy Selvaraj Xiaobao Guo Bingquan Shen A. Kong Alex C. Kot VLM 46 0 0 03 May 2024
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey Rokas Gipiškis Chun-Wei Tsai Olga Kurasova 61 5 0 02 May 2024
CoProNN: Concept-based Prototypical Nearest Neighbors for Explaining Vision Models Teodor Chiaburu Frank Haußer Felix Bießmann 45 4 0 23 Apr 2024
AudioProtoPNet: An interpretable deep learning model for bird sound classification René Heinrich Bernhard Sick Christoph Scholz 14 2 0 16 Apr 2024
MCPNet: An Interpretable Classifier via Multi-Level Concept Prototypes Bor-Shiun Wang Chien-Yi Wang Wei-Chen Chiu 30 3 0 13 Apr 2024
MAProtoNet: A Multi-scale Attentive Interpretable Prototypical Part Network for 3D Magnetic Resonance Imaging Brain Tumor Classification Binghua Li Jie Mao Zhe Sun Chao Li Qibin Zhao Toshihisa Tanaka 28 0 0 13 Apr 2024
Allowing humans to interactively guide machines where to look does not always improve human-AI team's classification accuracy Giang Nguyen Mohammad Reza Taesiri Sunnie S. Y. Kim Anh Nguyen HAI AAML FAtt 31 6 0 08 Apr 2024
Enhancing Interpretability of Vertebrae Fracture Grading using Human-interpretable Prototypes Poulami Sinhamahapatra Suprosanna Shit Anjany Sekuboyina M. Husseini D. Schinz Nicolas Lenhart Bjoern H. Menze Jan Kirschke Karsten Roscher Stephan Guennemann 47 1 0 03 Apr 2024
PEEB: Part-based Image Classifiers with an Explainable and Editable Language Bottleneck Thang M. Pham Peijie Chen Tin Nguyen Seunghyun Yoon Trung Bui Anh Nguyen VLM 49 7 0 08 Mar 2024
ProtoP-OD: Explainable Object Detection with Prototypical Parts Pavlos Rath-Manakidis Frederik Strothmann Tobias Glasmachers Laurenz Wiskott ViT 35 1 0 29 Feb 2024
InterpretCC: Intrinsic User-Centric Interpretability through Global Mixture of Experts Vinitra Swamy Syrielle Montariol Julian Blackwell Jibril Frej Martin Jaggi Tanja Kaser 38 3 0 05 Feb 2024
ViTree: Single-path Neural Tree for Step-wise Interpretable Fine-grained Visual Categorization Danning Lao Qi Liu Jiazi Bu Junchi Yan Wei Shen 26 1 0 30 Jan 2024
Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective Haoyi Xiong Xuhong Li Xiaofei Zhang Jiamin Chen Xinhao Sun Yuchen Li Zeyi Sun Jundong Li XAI 40 8 0 09 Jan 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 44 0 0 22 Dec 2023
Concept-based Explainable Artificial Intelligence: A Survey Eleonora Poeta Gabriele Ciravegna Eliana Pastor Tania Cerquitelli Elena Baralis LRM XAI 21 42 0 20 Dec 2023
Prototypical Self-Explainable Models Without Re-training Srishti Gautam Ahcène Boubekki Marina M.-C. Höhne Michael C. Kampffmeyer 28 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 24 0 0 04 Dec 2023
ProtoEEGNet: An Interpretable Approach for Detecting Interictal Epileptiform Discharges Dennis Tang Frank Willard Ronan Tegerdine Luke Triplett Jon Donnelly ... Lesia Semenova A. Barnett Jin Jing Cynthia Rudin Brandon Westover 12 0 0 03 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 23 1 0 30 Nov 2023
A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis Dipanjyoti Paul A. Chowdhury Xinqi Xiong Feng-Ju Chang David Carlyn ... Daniel Rubenstein Charles V. Stewart Tanya Berger-Wolf Yu-Chuan Su Wei-Lun Chao ViT 17 16 0 07 Nov 2023