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Centroid-centered Modeling for Efficient Vision Transformer Pre-training

Centroid-centered Modeling for Efficient Vision Transformer Pre-training

8 March 2023
Xin Yan
Zuchao Li
Lefei Zhang
Bo Du
Dacheng Tao
    VLM
ArXiv (abs)PDFHTML

Papers citing "Centroid-centered Modeling for Efficient Vision Transformer Pre-training"

33 / 33 papers shown
Title
RILS: Masked Visual Reconstruction in Language Semantic Space
RILS: Masked Visual Reconstruction in Language Semantic Space
Shusheng Yang
Yixiao Ge
Kun Yi
Dian Li
Ying Shan
Xiaohu Qie
Xinggang Wang
CLIP
69
11
0
17 Jan 2023
BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers
BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers
Zhiliang Peng
Li Dong
Hangbo Bao
QiXiang Ye
Furu Wei
66
319
0
12 Aug 2022
SdAE: Self-distillated Masked Autoencoder
SdAE: Self-distillated Masked Autoencoder
Yabo Chen
Yuchen Liu
Dongsheng Jiang
Xiaopeng Zhang
Wenrui Dai
H. Xiong
Qi Tian
ViT
76
73
0
31 Jul 2022
mc-BEiT: Multi-choice Discretization for Image BERT Pre-training
mc-BEiT: Multi-choice Discretization for Image BERT Pre-training
Xiaotong Li
Yixiao Ge
Kun Yi
Zixuan Hu
Ying Shan
Ling-yu Duan
84
39
0
29 Mar 2022
data2vec: A General Framework for Self-supervised Learning in Speech,
  Vision and Language
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language
Alexei Baevski
Wei-Ning Hsu
Qiantong Xu
Arun Babu
Jiatao Gu
Michael Auli
SSLVLMViT
97
859
0
07 Feb 2022
Context Autoencoder for Self-Supervised Representation Learning
Context Autoencoder for Self-Supervised Representation Learning
Xiaokang Chen
Mingyu Ding
Xiaodi Wang
Ying Xin
Shentong Mo
Yunhao Wang
Shumin Han
Ping Luo
Gang Zeng
Jingdong Wang
SSL
119
396
0
07 Feb 2022
Are Large-scale Datasets Necessary for Self-Supervised Pre-training?
Are Large-scale Datasets Necessary for Self-Supervised Pre-training?
Alaaeldin El-Nouby
Gautier Izacard
Hugo Touvron
Ivan Laptev
Hervé Jégou
Edouard Grave
SSL
89
151
0
20 Dec 2021
Masked Feature Prediction for Self-Supervised Visual Pre-Training
Masked Feature Prediction for Self-Supervised Visual Pre-Training
Chen Wei
Haoqi Fan
Saining Xie
Chaoxia Wu
Alan Yuille
Christoph Feichtenhofer
ViT
149
670
0
16 Dec 2021
PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers
PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers
Xiaoyi Dong
Jianmin Bao
Ting Zhang
Dongdong Chen
Weiming Zhang
Lu Yuan
Dong Chen
Fang Wen
Nenghai Yu
Baining Guo
ViT
117
244
0
24 Nov 2021
iBOT: Image BERT Pre-Training with Online Tokenizer
iBOT: Image BERT Pre-Training with Online Tokenizer
Jinghao Zhou
Chen Wei
Huiyu Wang
Wei Shen
Cihang Xie
Alan Yuille
Tao Kong
88
740
0
15 Nov 2021
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViTTPM
473
7,819
0
11 Nov 2021
VIMPAC: Video Pre-Training via Masked Token Prediction and Contrastive
  Learning
VIMPAC: Video Pre-Training via Masked Token Prediction and Contrastive Learning
Hao Tan
Jie Lei
Thomas Wolf
Joey Tianyi Zhou
91
66
0
21 Jun 2021
BEiT: BERT Pre-Training of Image Transformers
BEiT: BERT Pre-Training of Image Transformers
Hangbo Bao
Li Dong
Songhao Piao
Furu Wei
ViT
289
2,841
0
15 Jun 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
708
6,127
0
29 Apr 2021
An Empirical Study of Training Self-Supervised Vision Transformers
An Empirical Study of Training Self-Supervised Vision Transformers
Xinlei Chen
Saining Xie
Kaiming He
ViT
159
1,869
0
05 Apr 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
418
4,996
0
24 Feb 2021
Exploring Simple Siamese Representation Learning
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
258
4,072
0
20 Nov 2020
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCLSSL
261
4,098
0
17 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
395
6,837
0
13 Jun 2020
Prototypical Contrastive Learning of Unsupervised Representations
Prototypical Contrastive Learning of Unsupervised Representations
Junnan Li
Pan Zhou
Caiming Xiong
Guosheng Lin
SSLDRL
139
975
0
11 May 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
375
18,866
0
13 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
210
12,124
0
13 Nov 2019
Self-labelling via simultaneous clustering and representation learning
Self-labelling via simultaneous clustering and representation learning
Yuki M. Asano
Christian Rupprecht
Andrea Vedaldi
SSL
123
777
0
13 Nov 2019
Unsupervised Feature Learning via Non-Parametric Instance-level
  Discrimination
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
Zhirong Wu
Yuanjun Xiong
Stella X. Yu
Dahua Lin
SSL
182
3,466
0
05 May 2018
Unsupervised Representation Learning by Predicting Image Rotations
Unsupervised Representation Learning by Predicting Image Rotations
Spyros Gidaris
Praveer Singh
N. Komodakis
OODSSLDRL
263
3,298
0
21 Mar 2018
Neural Discrete Representation Learning
Neural Discrete Representation Learning
Aaron van den Oord
Oriol Vinyals
Koray Kavukcuoglu
BDLSSLOCL
230
5,071
0
02 Nov 2017
Colorization as a Proxy Task for Visual Understanding
Colorization as a Proxy Task for Visual Understanding
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
SSL
162
498
0
11 Mar 2017
Billion-scale similarity search with GPUs
Billion-scale similarity search with GPUs
Jeff Johnson
Matthijs Douze
Hervé Jégou
257
3,737
0
28 Feb 2017
Categorical Reparameterization with Gumbel-Softmax
Categorical Reparameterization with Gumbel-Softmax
Eric Jang
S. Gu
Ben Poole
BDL
349
5,379
0
03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random
  Variables
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables
Chris J. Maddison
A. Mnih
Yee Whye Teh
BDL
198
2,537
0
02 Nov 2016
Discrete Variational Autoencoders
Discrete Variational Autoencoders
J. Rolfe
BDLDRL
199
260
0
07 Sep 2016
Semantic Understanding of Scenes through the ADE20K Dataset
Semantic Understanding of Scenes through the ADE20K Dataset
Bolei Zhou
Hang Zhao
Xavier Puig
Tete Xiao
Sanja Fidler
Adela Barriuso
Antonio Torralba
SSeg
404
1,890
0
18 Aug 2016
Unsupervised Learning of Visual Representations by Solving Jigsaw
  Puzzles
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
M. Noroozi
Paolo Favaro
SSL
177
8
0
30 Mar 2016
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