Adaptive Token Sampling For Efficient Vision Transformers

30 November 2021

Mohsen Fayyaz

Soroush Abbasi Koohpayegani

F. Jafari

Sunando Sengupta

Hamid Reza Vaezi Joze

Juergen Gall

Papers citing "Adaptive Token Sampling For Efficient Vision Transformers"

20 / 20 papers shown

Title
Back to Fundamentals: Low-Level Visual Features Guided Progressive Token Pruning Yuanbing Ouyang Yizhuo Liang Qingpeng Li Xinfei Guo Yiming Luo Di Wu Hao Wang Yushan Pan ViT VLM 64 0 0 25 Apr 2025
HGFormer: Topology-Aware Vision Transformer with HyperGraph Learning Hao Wang Shuo Zhang Biao Leng ViT 59 0 0 03 Apr 2025
Janus: Collaborative Vision Transformer Under Dynamic Network Environment Linyi Jiang Silvery Fu Yifei Zhu Bo Li ViT 67 0 0 14 Feb 2025
Token Turing Machines are Efficient Vision Models Purvish Jajal Nick Eliopoulos Benjamin Shiue-Hal Chou George K. Thiravathukal James C. Davis Yung-Hsiang Lu 73 0 0 11 Sep 2024
TempMe: Video Temporal Token Merging for Efficient Text-Video Retrieval Leqi Shen Tianxiang Hao Tao He Sicheng Zhao Pengzhang Liu Yongjun Bao Guiguang Ding Guiguang Ding 57 6 0 02 Sep 2024
Accelerating Transformers with Spectrum-Preserving Token Merging Hoai-Chau Tran D. M. Nguyen Duy M. Nguyen Trung Thanh Nguyen Ngan Le Pengtao Xie Daniel Sonntag James Y. Zou Binh T. Nguyen Mathias Niepert 32 8 0 25 May 2024
Adaptive Depth Networks with Skippable Sub-Paths Woochul Kang 22 1 0 27 Dec 2023
Vision Transformers for Mobile Applications: A Short Survey Nahid Alam Steven Kolawole S. Sethi Nishant Bansali Karina Nguyen ViT 16 3 0 30 May 2023
Zero-TPrune: Zero-Shot Token Pruning through Leveraging of the Attention Graph in Pre-Trained Transformers Hongjie Wang Bhishma Dedhia N. Jha ViT VLM 23 25 0 27 May 2023
Do We Really Need a Large Number of Visual Prompts? Youngeun Kim Yuhang Li Abhishek Moitra Ruokai Yin Priyadarshini Panda VLM VPVLM 29 5 0 26 May 2023
Efficient Video Action Detection with Token Dropout and Context Refinement Lei Chen Zhan Tong Yibing Song Gangshan Wu Limin Wang 23 14 0 17 Apr 2023
SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications Abdelrahman M. Shaker Muhammad Maaz H. Rasheed Salman Khan Ming Yang F. Khan ViT 27 83 0 27 Mar 2023
Training-Free Acceleration of ViTs with Delayed Spatial Merging J. Heo Seyedarmin Azizi A. Fayyazi Massoud Pedram 33 3 0 04 Mar 2023
Token Turing Machines Michael S. Ryoo K. Gopalakrishnan Kumara Kahatapitiya Ted Xiao Kanishka Rao Austin Stone Yao Lu Julian Ibarz Anurag Arnab 27 21 0 16 Nov 2022
Token Pooling in Vision Transformers D. Marin Jen-Hao Rick Chang Anurag Ranjan Anish K. Prabhu Mohammad Rastegari Oncel Tuzel ViT 65 65 0 08 Oct 2021
Transformer in Transformer Kai Han An Xiao Enhua Wu Jianyuan Guo Chunjing Xu Yunhe Wang ViT 282 1,490 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 3,538 0 24 Feb 2021
Is Space-Time Attention All You Need for Video Understanding? Gedas Bertasius Heng Wang Lorenzo Torresani ViT 278 1,939 0 09 Feb 2021
Efficient Content-Based Sparse Attention with Routing Transformers Aurko Roy M. Saffar Ashish Vaswani David Grangier MoE 228 578 0 12 Mar 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 948 20,214 0 17 Apr 2017