Analyzing Vision Transformers for Image Classification in Class
Embedding Space

Analyzing Vision Transformers for Image Classification in Class Embedding Space

29 October 2023

Martina G. Vilas

Timothy Schaumlöffel

Papers citing "Analyzing Vision Transformers for Image Classification in Class Embedding Space"

8 / 8 papers shown

Title
Prisma: An Open Source Toolkit for Mechanistic Interpretability in Vision and Video Sonia Joseph Praneet Suresh Lorenz Hufe Edward Stevinson Robert Graham Yash Vadi Danilo Bzdok Sebastian Lapuschkin Lee Sharkey Blake A. Richards 70 0 0 28 Apr 2025
Towards Interpreting Visual Information Processing in Vision-Language Models Clement Neo Luke Ong Philip H. S. Torr Mor Geva David M. Krueger Fazl Barez 84 6 0 09 Oct 2024
Human-inspired Explanations for Vision Transformers and Convolutional Neural Networks Mahadev Prasad Panda Matteo Tiezzi Martina Vilas Gemma Roig Bjoern M. Eskofier Dario Zanca ViT AAML 26 1 0 04 Aug 2024
What Do VLMs NOTICE? A Mechanistic Interpretability Pipeline for Gaussian-Noise-free Text-Image Corruption and Evaluation Michal Golovanevsky William Rudman Vedant Palit Ritambhara Singh Carsten Eickhoff 24 1 0 24 Jun 2024
LookHere: Vision Transformers with Directed Attention Generalize and Extrapolate A. Fuller Daniel G. Kyrollos Yousef Yassin James R. Green 34 2 0 22 May 2024
Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models Asma Ghandeharioun Avi Caciularu Adam Pearce Lucas Dixon Mor Geva 16 86 0 11 Jan 2024
Intriguing Properties of Vision Transformers Muzammal Naseer Kanchana Ranasinghe Salman Khan Munawar Hayat F. Khan Ming-Hsuan Yang ViT 248 512 0 21 May 2021
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 154 676 0 22 Apr 2021