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Token Pooling in Vision Transformers

Token Pooling in Vision Transformers

8 October 2021
D. Marin
Jen-Hao Rick Chang
Anurag Ranjan
Anish K. Prabhu
Mohammad Rastegari
Oncel Tuzel
    ViT
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Papers citing "Token Pooling in Vision Transformers"

15 / 15 papers shown
Title
DyMU: Dynamic Merging and Virtual Unmerging for Efficient VLMs
DyMU: Dynamic Merging and Virtual Unmerging for Efficient VLMs
Z. Wang
Senthil Purushwalkam
Caiming Xiong
S.
Heng Ji
R. Xu
34
0
0
23 Apr 2025
Boosting Multimodal Large Language Models with Visual Tokens Withdrawal for Rapid Inference
Boosting Multimodal Large Language Models with Visual Tokens Withdrawal for Rapid Inference
Zhihang Lin
Mingbao Lin
Luxi Lin
Rongrong Ji
46
16
0
28 Jan 2025
TempMe: Video Temporal Token Merging for Efficient Text-Video Retrieval
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
43
6
0
02 Sep 2024
Efficient Video Action Detection with Token Dropout and Context
  Refinement
Efficient Video Action Detection with Token Dropout and Context Refinement
Lei Chen
Zhan Tong
Yibing Song
Gangshan Wu
Limin Wang
16
14
0
17 Apr 2023
FastViT: A Fast Hybrid Vision Transformer using Structural
  Reparameterization
FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization
Pavan Kumar Anasosalu Vasu
J. Gabriel
Jeff J. Zhu
Oncel Tuzel
Anurag Ranjan
ViT
17
146
0
24 Mar 2023
Training-Free Acceleration of ViTs with Delayed Spatial Merging
Training-Free Acceleration of ViTs with Delayed Spatial Merging
J. Heo
Seyedarmin Azizi
A. Fayyazi
Massoud Pedram
20
3
0
04 Mar 2023
Expediting Large-Scale Vision Transformer for Dense Prediction without
  Fine-tuning
Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning
Weicong Liang
Yuhui Yuan
Henghui Ding
Xiao Luo
Weihong Lin
Ding Jia
Zheng-Wei Zhang
Chao Zhang
Hanhua Hu
10
25
0
03 Oct 2022
Learning Hierarchical Image Segmentation For Recognition and By
  Recognition
Learning Hierarchical Image Segmentation For Recognition and By Recognition
Tsung-Wei Ke
Sangwoo Mo
Stella X. Yu
VLM
16
9
0
01 Oct 2022
SimA: Simple Softmax-free Attention for Vision Transformers
SimA: Simple Softmax-free Attention for Vision Transformers
Soroush Abbasi Koohpayegani
Hamed Pirsiavash
6
24
0
17 Jun 2022
CATs++: Boosting Cost Aggregation with Convolutions and Transformers
CATs++: Boosting Cost Aggregation with Convolutions and Transformers
Seokju Cho
Sunghwan Hong
Seung Wook Kim
ViT
10
34
0
14 Feb 2022
Centroid Transformers: Learning to Abstract with Attention
Centroid Transformers: Learning to Abstract with Attention
Lemeng Wu
Xingchao Liu
Qiang Liu
3DPC
45
24
0
17 Feb 2021
Big Bird: Transformers for Longer Sequences
Big Bird: Transformers for Longer Sequences
Manzil Zaheer
Guru Guruganesh
Kumar Avinava Dubey
Joshua Ainslie
Chris Alberti
...
Philip Pham
Anirudh Ravula
Qifan Wang
Li Yang
Amr Ahmed
VLM
246
1,982
0
28 Jul 2020
Efficient Content-Based Sparse Attention with Routing Transformers
Efficient Content-Based Sparse Attention with Routing Transformers
Aurko Roy
M. Saffar
Ashish Vaswani
David Grangier
MoE
228
502
0
12 Mar 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
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
ENet: A Deep Neural Network Architecture for Real-Time Semantic
  Segmentation
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
Adam Paszke
Abhishek Chaurasia
Sangpil Kim
Eugenio Culurciello
SSeg
199
2,034
0
07 Jun 2016
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