Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks

12 December 2022

Papers citing "Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks"

9 / 9 papers shown

Title
Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation Hugo Porta Emanuele Dalsasso Diego Marcos D. Tuia 87 0 0 14 Sep 2024
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 16 1 0 30 Nov 2023
Deep Graph Reprogramming Yongcheng Jing Chongbin Yuan Li Ju Yiding Yang Xinchao Wang Dacheng Tao 75 35 0 28 Apr 2023
Dataset Distillation via Factorization Songhua Liu Kai Wang Xingyi Yang Jingwen Ye Xinchao Wang DD 124 137 0 30 Oct 2022
HIVE: Evaluating the Human Interpretability of Visual Explanations Sunnie S. Y. Kim Nicole Meister V. V. Ramaswamy Ruth C. Fong Olga Russakovsky 55 112 0 06 Dec 2021
Interpretable Image Classification with Differentiable Prototypes Assignment Dawid Rymarczyk Lukasz Struski Michal Górszczak K. Lewandowska Jacek Tabor Bartosz Zieliñski 31 97 0 06 Dec 2021
One-Shot Object Affordance Detection in the Wild Wei Zhai Hongcheng Luo Jing Zhang Yang Cao Dacheng Tao 68 44 0 08 Aug 2021
BCNet: Searching for Network Width with Bilaterally Coupled Network Xiu Su Shan You Fei-Yue Wang Chao Qian Changshui Zhang Chang Xu 30 33 0 21 May 2021
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 228 2,231 0 24 Jun 2017