ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts

28 January 2023

Papers citing "ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts"

21 / 21 papers shown

Title
Interpretable Affordance Detection on 3D Point Clouds with Probabilistic Prototypes M. Li Korbinian Franz Rudolf Nils Blank Rudolf Lioutikov 3DPC 27 0 0 25 Apr 2025
COMIX: Compositional Explanations using Prototypes S. Sivaprasad D. Kangin Plamen Angelov Mario Fritz 85 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 27 2 0 07 Nov 2024
Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation Hugo Porta Emanuele Dalsasso Diego Marcos D. Tuia 93 0 0 14 Sep 2024
Aggregated Attributions for Explanatory Analysis of 3D Segmentation Models Maciej Chrabaszcz Hubert Baniecki Piotr Komorowski Szymon Płotka Przemysław Biecek 24 1 0 23 Jul 2024
XEdgeAI: A Human-centered Industrial Inspection Framework with Data-centric Explainable Edge AI Approach Truong Thanh Hung Nguyen Phuc Truong Loc Nguyen Hung Cao 14 2 0 16 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 23 4 0 20 Jun 2024
LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision Mateusz Pach Dawid Rymarczyk K. Lewandowska Jacek Tabor Bartosz Zieliñski 22 7 0 23 May 2024
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey Rokas Gipiškis Chun-Wei Tsai Olga Kurasova 52 5 0 02 May 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 16 0 0 13 Apr 2024
A survey on Concept-based Approaches For Model Improvement Avani Gupta P. J. Narayanan LRM 24 5 0 21 Mar 2024
Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning F. Mumuni A. Mumuni AAML 25 5 0 11 Mar 2024
ProtoP-OD: Explainable Object Detection with Prototypical Parts Pavlos Rath-Manakidis Frederik Strothmann Tobias Glasmachers Laurenz Wiskott ViT 27 1 0 29 Feb 2024
Leveraging Habitat Information for Fine-grained Bird Identification Tin Nguyen Anh Nguyen Anh Nguyen VLM 33 0 0 22 Dec 2023
Pixel-Grounded Prototypical Part Networks Zachariah Carmichael Suhas Lohit A. Cherian Michael J. Jones Walter J. Scheirer 28 11 0 25 Sep 2023
Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations Mikolaj Sacha Bartosz Jura Dawid Rymarczyk Lukasz Struski Jacek Tabor Bartosz Zieliñski 25 14 0 16 Aug 2023
ICICLE: Interpretable Class Incremental Continual Learning Dawid Rymarczyk Joost van de Weijer Bartosz Zieliñski Bartlomiej Twardowski CLL 16 28 0 14 Mar 2023
Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks Qihan Huang Mengqi Xue Wenqi Huang Haofei Zhang Jie Song Yongcheng Jing Mingli Song AAML 19 26 0 12 Dec 2022
Revealing Hidden Context Bias in Segmentation and Object Detection through Concept-specific Explanations Maximilian Dreyer Reduan Achtibat Thomas Wiegand Wojciech Samek Sebastian Lapuschkin 37 20 0 21 Nov 2022
Interpretable Image Classification with Differentiable Prototypes Assignment Dawid Rymarczyk Lukasz Struski Michal Górszczak K. Lewandowska Jacek Tabor Bartosz Zieliñski 31 98 0 06 Dec 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 120 297 0 17 Oct 2019