OCTET: Object-aware Counterfactual Explanations

22 November 2022

Papers citing "OCTET: Object-aware Counterfactual Explanations"

9 / 9 papers shown

Title
Disentangling Visual Transformers: Patch-level Interpretability for Image Classification Guillaume Jeanneret Loïc Simon F. Jurie ViT 44 0 0 24 Feb 2025
GIFT: A Framework for Global Interpretable Faithful Textual Explanations of Vision Classifiers Éloi Zablocki Valentin Gerard Amaia Cardiel Eric Gaussier Matthieu Cord Eduardo Valle 69 0 0 23 Nov 2024
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models Jayneel Parekh Quentin Bouniot Pavlo Mozharovskyi A. Newson Florence dÁlché-Buc SSL 49 1 0 01 Jul 2024
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey Rokas Gipiškis Chun-Wei Tsai Olga Kurasova 41 5 0 02 May 2024
COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical images Dmytro Shvetsov Joonas Ariva M. Domnich Raul Vicente Dmytro Fishman MedIm 27 0 0 19 Apr 2024
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving Shahin Atakishiyev Mohammad Salameh Randy Goebel 58 5 0 18 Mar 2024
Designing an Encoder for StyleGAN Image Manipulation Omer Tov Yuval Alaluf Yotam Nitzan Or Patashnik Daniel Cohen-Or 191 775 0 04 Feb 2021
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 225 3,658 0 28 Feb 2017
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 244 35,884 0 25 Aug 2016