Evaluating Feature Attribution Methods in the Image Domain

Evaluating Feature Attribution Methods in the Image Domain

22 February 2022

Axel-Jan Rousseau

Papers citing "Evaluating Feature Attribution Methods in the Image Domain"

15 / 15 papers shown

Title
Tokenize Image Patches: Global Context Fusion for Effective Haze Removal in Large Images Jiuchen Chen Xinyu Yan Qizhi Xu Kaiqi Li VLM 27 0 0 13 Apr 2025
On the Black-box Explainability of Object Detection Models for Safe and Trustworthy Industrial Applications Alain Andres Aitor Martinez-Seras I. Laña Javier Del Ser AAML 29 1 0 28 Oct 2024
Benchmarking the Attribution Quality of Vision Models Robin Hesse Simone Schaub-Meyer Stefan Roth FAtt 29 3 0 16 Jul 2024
Toward Understanding the Disagreement Problem in Neural Network Feature Attribution Niklas Koenen Marvin N. Wright FAtt 34 5 0 17 Apr 2024
Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI Benchmarks Stefan Blücher Johanna Vielhaben Nils Strodthoff AAML 61 20 0 12 Jan 2024
Explanation-based Training with Differentiable Insertion/Deletion Metric-aware Regularizers Yuya Yoshikawa Tomoharu Iwata 14 0 0 19 Oct 2023
Explaining and visualizing black-box models through counterfactual paths Bastian Pfeifer Mateusz Krzyzinski Hubert Baniecki Anna Saranti Andreas Holzinger P. Biecek 25 0 0 15 Jul 2023
Shapley Sets: Feature Attribution via Recursive Function Decomposition Torty Sivill Peter A. Flach FAtt TDI 11 1 0 04 Jul 2023
XAI-TRIS: Non-linear image benchmarks to quantify false positive post-hoc attribution of feature importance Benedict Clark Rick Wilming Stefan Haufe 20 4 0 22 Jun 2023
Benchmark data to study the influence of pre-training on explanation performance in MR image classification Marta Oliveira Rick Wilming Benedict Clark Céline Budding Fabian Eitel K. Ritter Stefan Haufe 16 1 0 21 Jun 2023
Finding the right XAI method -- A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science P. Bommer M. Kretschmer Anna Hedström Dilyara Bareeva Marina M.-C. Höhne 35 38 0 01 Mar 2023
The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus Anna Hedström P. Bommer Kristoffer K. Wickstrom Wojciech Samek Sebastian Lapuschkin Marina M.-C. Höhne 29 21 0 14 Feb 2023
Evaluating Feature Attribution Methods for Electrocardiogram J. Suh Jimyeong Kim Euna Jung Wonjong Rhee FAtt 14 2 0 23 Nov 2022
How explainable are adversarially-robust CNNs? Mehdi Nourelahi Lars Kotthoff Peijie Chen Anh Totti Nguyen AAML FAtt 22 8 0 25 May 2022
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 242 3,681 0 28 Feb 2017