Interpretable Image Classification with Differentiable Prototypes Assignment

6 December 2021

Papers citing "Interpretable Image Classification with Differentiable Prototypes Assignment"

25 / 25 papers shown

Title
Decoupled Multimodal Prototypes for Visual Recognition with Missing Modalities Jueqing Lu Yuanyuan Qi Xiaohao Yang Shujie Zhou Lan Du 34 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 44 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 62 1 0 14 Apr 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 53 0 0 10 Mar 2025
Disentangling Visual Transformers: Patch-level Interpretability for Image Classification Guillaume Jeanneret Loïc Simon F. Jurie ViT 66 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 88 0 0 13 Feb 2025
InfoDisent: Explainability of Image Classification Models by Information Disentanglement Łukasz Struski Dawid Rymarczyk Jacek Tabor 59 1 0 16 Sep 2024
A prototype-based model for set classification Mohammad Mohammadi Sreejita Ghosh VLM 112 1 0 25 Aug 2024
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey Rokas Gipiškis Chun-Wei Tsai Olga Kurasova 68 5 0 02 May 2024
Prototypical Self-Explainable Models Without Re-training Srishti Gautam Ahcène Boubekki Marina M.-C. Höhne Michael C. Kampffmeyer 34 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 29 1 0 30 Nov 2023
ProtoArgNet: Interpretable Image Classification with Super-Prototypes and Argumentation [Technical Report] Hamed Ayoobi Nico Potyka Francesca Toni 44 3 0 26 Nov 2023
Advancing Post Hoc Case Based Explanation with Feature Highlighting Eoin M. Kenny Eoin Delaney Markt. Keane 36 5 0 06 Nov 2023
This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations Chiyu Ma Brandon Zhao Chaofan Chen Cynthia Rudin 34 27 0 28 Oct 2023
A differentiable Gaussian Prototype Layer for explainable Segmentation M. Gerstenberger Steffen Maass Peter Eisert S. Bosse 35 4 0 25 Jun 2023
MProtoNet: A Case-Based Interpretable Model for Brain Tumor Classification with 3D Multi-parametric Magnetic Resonance Imaging Yuanyuan Wei Roger Tam Xiaoying Tang MedIm 22 12 0 13 Apr 2023
Take 5: Interpretable Image Classification with a Handful of Features Thomas Norrenbrock Marco Rudolph Bodo Rosenhahn FAtt 42 7 0 23 Mar 2023
Adversarial Counterfactual Visual Explanations Guillaume Jeanneret Loïc Simon F. Jurie DiffM 41 27 0 17 Mar 2023
ICICLE: Interpretable Class Incremental Continual Learning Dawid Rymarczyk Joost van de Weijer Bartosz Zieliñski Bartlomiej Twardowski CLL 37 28 0 14 Mar 2023
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts Mikolaj Sacha Dawid Rymarczyk Lukasz Struski Jacek Tabor Bartosz Zieliñski VLM 38 29 0 28 Jan 2023
Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks Tilman Raukur A. Ho Stephen Casper Dylan Hadfield-Menell AAML AI4CE 28 125 0 27 Jul 2022
Learnable Visual Words for Interpretable Image Recognition Wenxi Xiao Zhengming Ding Hongfu Liu VLM 25 2 0 22 May 2022
Visual Saliency Transformer Nian Liu Ni Zhang Kaiyuan Wan Ling Shao Junwei Han ViT 261 352 0 25 Apr 2021
On Completeness-aware Concept-Based Explanations in Deep Neural Networks Chih-Kuan Yeh Been Kim Sercan Ö. Arik Chun-Liang Li Tomas Pfister Pradeep Ravikumar FAtt 122 297 0 17 Oct 2019
The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification Tianjun Xiao Yichong Xu Kuiyuan Yang Jiaxing Zhang Yuxin Peng Zheng-Wei Zhang 158 789 0 24 Nov 2014