Explicitly Increasing Input Information Density for Vision Transformers on Small Datasets

25 October 2022

Papers citing "Explicitly Increasing Input Information Density for Vision Transformers on Small Datasets"

4 / 4 papers shown

Title
Accumulated Trivial Attention Matters in Vision Transformers on Small Datasets Xiangyu Chen Qinghao Hu Kaidong Li Cuncong Zhong Guanghui Wang ViT 38 11 0 22 Oct 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,443 0 11 Nov 2021
CMT: Convolutional Neural Networks Meet Vision Transformers Jianyuan Guo Kai Han Han Wu Yehui Tang Chunjing Xu Yunhe Wang Chang Xu ViT 351 500 0 13 Jul 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 289 3,623 0 24 Feb 2021