ComFe: An Interpretable Head for Vision Transformers

ComFe: An Interpretable Head for Vision Transformers

7 March 2024

Evelyn J. Mannix

Howard Bondell

Papers citing "ComFe: An Interpretable Head for Vision Transformers"

8 / 8 papers shown

Title
DINO as a von Mises-Fisher mixture model Hariprasath Govindarajan Per Sidén Jacob Roll Fredrik Lindsten 42 11 0 17 May 2024
Learning with Mixture of Prototypes for Out-of-Distribution Detection Haodong Lu Dong Gong Shuo Wang Jason Xue Lina Yao Kristen Moore OODD 58 22 0 05 Feb 2024
Fully Attentional Networks with Self-emerging Token Labeling Bingyin Zhao Zhiding Yu Shiyi Lan Yutao Cheng A. Anandkumar Yingjie Lao Jose M. Alvarez 986 6 0 08 Jan 2024
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
Interpretable Image Classification with Differentiable Prototypes Assignment Dawid Rymarczyk Lukasz Struski Michal Górszczak K. Lewandowska Jacek Tabor Bartosz Zieliñski 34 98 0 06 Dec 2021
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 308 7,457 0 11 Nov 2021
Open-Set Recognition: a Good Closed-Set Classifier is All You Need? S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman BDL 169 408 0 12 Oct 2021
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,217 0 01 Sep 2014