ViT-CX: Causal Explanation of Vision Transformers

ViT-CX: Causal Explanation of Vision Transformers

6 November 2022

Papers citing "ViT-CX: Causal Explanation of Vision Transformers"

11 / 11 papers shown

Title
GMAR: Gradient-Driven Multi-Head Attention Rollout for Vision Transformer Interpretability Sehyeong Jo Gangjae Jang Haesol Park 32 0 0 28 Apr 2025
Multi-Head Explainer: A General Framework to Improve Explainability in CNNs and Transformers Bohang Sun Pietro Liò ViT AAML 36 1 0 02 Jan 2025
FilterViT and DropoutViT Bohang Sun 24 0 0 30 Oct 2024
FairViT: Fair Vision Transformer via Adaptive Masking Bowei Tian Ruijie Du Yanning Shen 19 1 0 20 Jul 2024
Probabilistic Conceptual Explainers: Trustworthy Conceptual Explanations for Vision Foundation Models Hengyi Wang Shiwei Tan Hao Wang BDL 34 6 0 18 Jun 2024
Explainability of Vision Transformers: A Comprehensive Review and New Perspectives Rojina Kashefi Leili Barekatain Mohammad Sabokrou Fatemeh Aghaeipoor ViT 37 9 0 12 Nov 2023
The Co-12 Recipe for Evaluating Interpretable Part-Prototype Image Classifiers Meike Nauta Christin Seifert 21 11 0 26 Jul 2023
Explanation Strategies for Image Classification in Humans vs. Current Explainable AI Ruoxi Qi Yueyuan Zheng Yi Yang Caleb Chen Cao J. H. Hsiao 9 5 0 10 Apr 2023
Intriguing Properties of Vision Transformers Muzammal Naseer Kanchana Ranasinghe Salman Khan Munawar Hayat F. Khan Ming-Hsuan Yang ViT 251 619 0 21 May 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo Ling Shao ViT 263 3,622 0 24 Feb 2021
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 225 3,681 0 28 Feb 2017