How Well do Feature Visualizations Support Causal Understanding of CNN
Activations?

How Well do Feature Visualizations Support Causal Understanding of CNN Activations?

23 June 2021

Roland S. Zimmermann

Matthias Bethge

Thomas S. A. Wallis

Wieland Brendel

Papers citing "How Well do Feature Visualizations Support Causal Understanding of CNN Activations?"

6 / 6 papers shown

Title
Decoding Vision Transformers: the Diffusion Steering Lens Ryota Takatsuki Sonia Joseph Ippei Fujisawa Ryota Kanai DiffM 30 0 0 18 Apr 2025
Identifying Interpretable Visual Features in Artificial and Biological Neural Systems David A. Klindt Sophia Sanborn Francisco Acosta Frédéric Poitevin Nina Miolane MILM FAtt 44 7 0 17 Oct 2023
Are Deep Neural Networks Adequate Behavioural Models of Human Visual Perception? Felix Wichmann Robert Geirhos 32 25 0 26 May 2023
Comparing the Decision-Making Mechanisms by Transformers and CNNs via Explanation Methods Ming-Xiu Jiang Saeed Khorram Li Fuxin FAtt 22 9 0 13 Dec 2022
HIVE: Evaluating the Human Interpretability of Visual Explanations Sunnie S. Y. Kim Nicole Meister V. V. Ramaswamy Ruth C. Fong Olga Russakovsky 66 114 0 06 Dec 2021
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 254 3,684 0 28 Feb 2017