DiT: Efficient Vision Transformers with Dynamic Token Routing

DiT: Efficient Vision Transformers with Dynamic Token Routing

7 August 2023

Zhengcong Fei

Junshi Huang

Papers citing "DiT: Efficient Vision Transformers with Dynamic Token Routing"

7 / 7 papers shown

Title
Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small Datasets Tianxiao Zhang Wenju Xu Bo Luo Guanghui Wang ViT MDE 31 7 0 28 Jul 2024
Transformer in Transformer Kai Han An Xiao Enhua Wu Jianyuan Guo Chunjing Xu Yunhe Wang ViT 282 1,518 0 27 Feb 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 3,604 0 24 Feb 2021
BorderDet: Border Feature for Dense Object Detection Han Qiu Yuchen Ma Zeming Li Songtao Liu Jian-jun Sun ObjD 82 124 0 21 Jul 2020
Learning Dynamic Routing for Semantic Segmentation Yanwei Li Lin Song Yukang Chen Zeming Li X. Zhang Xingang Wang Jian-jun Sun SSeg 80 161 0 23 Mar 2020
Feature Pyramid Networks for Object Detection Tsung-Yi Lin Piotr Dollár Ross B. Girshick Kaiming He Bharath Hariharan Serge J. Belongie ObjD 166 21,643 0 09 Dec 2016
Benefits of depth in neural networks Matus Telgarsky 123 600 0 14 Feb 2016