What do Vision Transformers Learn? A Visual Exploration

13 December 2022

Papers citing "What do Vision Transformers Learn? A Visual Exploration"

9 / 9 papers shown

Title
Towards Scalable Foundation Model for Multi-modal and Hyperspectral Geospatial Data Haozhe Si Yuxuan Wan Minh Do Deepak Vasisht Han Zhao Hendrik Hamann 41 0 0 17 Mar 2025
Discovering Influential Neuron Path in Vision Transformers Yifan Wang Yifei Liu Yingdong Shi C. Li Anqi Pang Sibei Yang Jingyi Yu Kan Ren ViT 66 0 0 12 Mar 2025
Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment Harrish Thasarathan Julian Forsyth Thomas Fel M. Kowal Konstantinos G. Derpanis 100 7 0 06 Feb 2025
Asynchronous Feedback Network for Perceptual Point Cloud Quality Assessment Yujie Zhang Qi Yang Ziyu Shan Yiling Xu 3DPC 21 0 0 13 Jul 2024
Dissecting Query-Key Interaction in Vision Transformers Xu Pan Aaron Philip Ziqian Xie Odelia Schwartz 25 1 0 04 Apr 2024
Multimodal Pretraining of Medical Time Series and Notes Ryan N. King Tianbao Yang Bobak J. Mortazavi 13 10 0 11 Dec 2023
Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations Amin Ghiasi Hamid Kazemi Steven Reich Chen Zhu Micah Goldblum Tom Goldstein 29 15 0 31 Jan 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
Intriguing Properties of Vision Transformers Muzammal Naseer Kanchana Ranasinghe Salman Khan Munawar Hayat F. Khan Ming-Hsuan Yang ViT 248 618 0 21 May 2021