FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods

11 August 2023

Papers citing "FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods"

27 / 27 papers shown

Title
Beyond Accuracy: What Matters in Designing Well-Behaved Models? Robin Hesse Doğukan Bağcı Bernt Schiele Simone Schaub-Meyer Stefan Roth VLM 54 0 0 21 Mar 2025
Birds look like cars: Adversarial analysis of intrinsically interpretable deep learning Hubert Baniecki P. Biecek AAML 78 0 0 11 Mar 2025
Post-Hoc Concept Disentanglement: From Correlated to Isolated Concept Representations Eren Erogullari Sebastian Lapuschkin Wojciech Samek Frederik Pahde LLMSV CoGe 59 0 0 07 Mar 2025
Towards Locally Explaining Prediction Behavior via Gradual Interventions and Measuring Property Gradients Niklas Penzel Joachim Denzler FAtt 46 0 0 07 Mar 2025
Tell me why: Visual foundation models as self-explainable classifiers Hugues Turbé Mina Bjelogrlic G. Mengaldo Christian Lovis 61 0 0 26 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 84 0 0 13 Feb 2025
COMIX: Compositional Explanations using Prototypes S. Sivaprasad D. Kangin Plamen Angelov Mario Fritz 59 0 0 10 Jan 2025
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics Lukas Klein Carsten T. Lüth U. Schlegel Till J. Bungert Mennatallah El-Assady Paul F. Jäger XAI ELM 29 1 0 03 Jan 2025
OMENN: One Matrix to Explain Neural Networks Adam Wróbel Mikołaj Janusz Bartosz Zieliñski Dawid Rymarczyk FAtt AAML 70 0 0 03 Dec 2024
Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantification Jannik Franzen Claudia Winklmayr Vanessa Emanuela Guarino Christoph Karg Xiaoyan Yu Nora Koreuber Jan P. Albrecht Philip Bischoff Dagmar Kainmueller 33 0 0 11 Nov 2024
PCEvE: Part Contribution Evaluation Based Model Explanation for Human Figure Drawing Assessment and Beyond Jongseo Lee Geo Ahn Seong Tae Kim Jinwoo Choi 18 0 0 26 Sep 2024
InfoDisent: Explainability of Image Classification Models by Information Disentanglement Łukasz Struski Dawid Rymarczyk Jacek Tabor 46 0 0 16 Sep 2024
FungiTastic: A multi-modal dataset and benchmark for image categorization Lukás Picek Klara Janouskova Milan Šulc Jirí Matas 72 1 0 24 Aug 2024
Revisiting FunnyBirds evaluation framework for prototypical parts networks Szymon Opłatek Dawid Rymarczyk Bartosz Zieliñski 20 3 0 21 Aug 2024
On the Evaluation Consistency of Attribution-based Explanations Jiarui Duan Haoling Li Haofei Zhang Hao Jiang Mengqi Xue Li Sun Mingli Song Jie Song XAI 26 0 0 28 Jul 2024
This Probably Looks Exactly Like That: An Invertible Prototypical Network Zachariah Carmichael Timothy Redgrave Daniel Gonzalez Cedre Walter J. Scheirer BDL 24 2 0 16 Jul 2024
Benchmarking the Attribution Quality of Vision Models Robin Hesse Simone Schaub-Meyer Stefan Roth FAtt 21 3 0 16 Jul 2024
Inpainting the Gaps: A Novel Framework for Evaluating Explanation Methods in Vision Transformers Lokesh Badisa Sumohana S. Channappayya 29 0 0 17 Jun 2024
ProtoS-ViT: Visual foundation models for sparse self-explainable classifications Hugues Turbé Mina Bjelogrlic G. Mengaldo Christian Lovis ViT 24 6 0 14 Jun 2024
Data Science Principles for Interpretable and Explainable AI Kris Sankaran FaML 35 0 0 17 May 2024
Reactive Model Correction: Mitigating Harm to Task-Relevant Features via Conditional Bias Suppression Dilyara Bareeva Maximilian Dreyer Frederik Pahde Wojciech Samek Sebastian Lapuschkin KELM 64 1 0 15 Apr 2024
Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images Zhuoran Yu Chenchen Zhu Sean Culatana Raghuraman Krishnamoorthi Fanyi Xiao Yong Jae Lee 109 13 0 04 Dec 2023
Pixel-Grounded Prototypical Part Networks Zachariah Carmichael Suhas Lohit A. Cherian Michael J. Jones Walter J. Scheirer 19 11 0 25 Sep 2023
Red Teaming Deep Neural Networks with Feature Synthesis Tools Stephen Casper Yuxiao Li Jiawei Li Tong Bu Ke Zhang K. Hariharan Dylan Hadfield-Menell AAML 8 14 0 08 Feb 2023
Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional Divergence Frederik Pahde Maximilian Dreyer Leander Weber Moritz Weckbecker Christopher J. Anders Thomas Wiegand Wojciech Samek Sebastian Lapuschkin 55 7 0 07 Feb 2022
HIVE: Evaluating the Human Interpretability of Visual Explanations Sunnie S. Y. Kim Nicole Meister V. V. Ramaswamy Ruth C. Fong Olga Russakovsky 58 112 0 06 Dec 2021
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014