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SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel
  Storage
v1v2 (latest)

SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage

20 March 2023
Song Park
Sanghyuk Chun
Byeongho Heo
Wonjae Kim
Sangdoo Yun
    VLMViT
ArXiv (abs)PDFHTMLGithub (55★)

Papers citing "SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage"

42 / 42 papers shown
Title
Conjuring Positive Pairs for Efficient Unification of Representation Learning and Image Synthesis
Conjuring Positive Pairs for Efficient Unification of Representation Learning and Image Synthesis
Imanol G. Estepa
Jesús M. Rodríguez-de-Vera
Ignacio Sarasúa
Bhalaji Nagarajan
Petia Radeva
151
0
0
19 Mar 2025
A Comprehensive Survey of Dataset Distillation
A Comprehensive Survey of Dataset Distillation
Shiye Lei
Dacheng Tao
DD
87
91
0
13 Jan 2023
LAION-5B: An open large-scale dataset for training next generation
  image-text models
LAION-5B: An open large-scale dataset for training next generation image-text models
Christoph Schuhmann
Romain Beaumont
Richard Vencu
Cade Gordon
Ross Wightman
...
Srivatsa Kundurthy
Katherine Crowson
Ludwig Schmidt
R. Kaczmarczyk
J. Jitsev
VLMMLLMCLIP
184
3,482
0
16 Oct 2022
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
Sample Condensation in Online Continual Learning
Sample Condensation in Online Continual Learning
Mattia Sangermano
Antonio Carta
Andrea Cossu
D. Bacciu
DD
64
43
0
23 Jun 2022
DeiT III: Revenge of the ViT
DeiT III: Revenge of the ViT
Hugo Touvron
Matthieu Cord
Hervé Jégou
ViT
120
414
0
14 Apr 2022
Revisiting Weakly Supervised Pre-Training of Visual Perception Models
Revisiting Weakly Supervised Pre-Training of Visual Perception Models
Mannat Singh
Laura Gustafson
Aaron B. Adcock
Vinicius de Freitas Reis
B. Gedik
Raj Prateek Kosaraju
D. Mahajan
Ross B. Girshick
Piotr Dollár
Laurens van der Maaten
VLM
75
129
0
20 Jan 2022
Joint Global and Local Hierarchical Priors for Learned Image Compression
Joint Global and Local Hierarchical Priors for Learned Image Compression
Jun-Hyuk Kim
Byeongho Heo
Jong-Seok Lee
78
85
0
08 Dec 2021
LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs
LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs
Christoph Schuhmann
Richard Vencu
Romain Beaumont
R. Kaczmarczyk
Clayton Mullis
Aarush Katta
Theo Coombes
J. Jitsev
Aran Komatsuzaki
VLMMLLMCLIP
229
1,429
0
03 Nov 2021
Vector-quantized Image Modeling with Improved VQGAN
Vector-quantized Image Modeling with Improved VQGAN
Jiahui Yu
Xin Li
Jing Yu Koh
Han Zhang
Ruoming Pang
James Qin
Alexander Ku
Yuanzhong Xu
Jason Baldridge
Yonghui Wu
ViTVLMDRL
117
519
0
09 Oct 2021
Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space
  Perspective
Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective
Luca Scimeca
Seong Joon Oh
Sanghyuk Chun
Michael Poli
Sangdoo Yun
OOD
493
54
0
06 Oct 2021
Deep Learning on a Data Diet: Finding Important Examples Early in
  Training
Deep Learning on a Data Diet: Finding Important Examples Early in Training
Mansheej Paul
Surya Ganguli
Gintare Karolina Dziugaite
114
457
0
15 Jul 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy
  Text Supervision
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia
Yinfei Yang
Ye Xia
Yi-Ting Chen
Zarana Parekh
Hieu H. Pham
Quoc V. Le
Yun-hsuan Sung
Zhen Li
Tom Duerig
VLMCLIP
445
3,856
0
11 Feb 2021
ViLT: Vision-and-Language Transformer Without Convolution or Region
  Supervision
ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision
Wonjae Kim
Bokyung Son
Ildoo Kim
VLMCLIP
123
1,749
0
05 Feb 2021
Re-labeling ImageNet: from Single to Multi-Labels, from Global to
  Localized Labels
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels
Sangdoo Yun
Seong Joon Oh
Byeongho Heo
Dongyoon Han
Junsuk Choe
Sanghyuk Chun
481
146
0
13 Jan 2021
Measuring Robustness to Natural Distribution Shifts in Image
  Classification
Measuring Robustness to Natural Distribution Shifts in Image Classification
Rohan Taori
Achal Dave
Vaishaal Shankar
Nicholas Carlini
Benjamin Recht
Ludwig Schmidt
OOD
117
546
0
01 Jul 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution
  Generalization
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization
Dan Hendrycks
Steven Basart
Norman Mu
Saurav Kadavath
Frank Wang
...
Samyak Parajuli
Mike Guo
Basel Alomair
Jacob Steinhardt
Justin Gilmer
OOD
340
1,740
0
29 Jun 2020
An Empirical Evaluation on Robustness and Uncertainty of Regularization
  Methods
An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods
Sanghyuk Chun
Seong Joon Oh
Sangdoo Yun
Dongyoon Han
Junsuk Choe
Y. Yoo
AAMLOOD
398
53
0
09 Mar 2020
Reliable evaluation of adversarial robustness with an ensemble of
  diverse parameter-free attacks
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
Francesco Croce
Matthias Hein
AAML
216
1,846
0
03 Mar 2020
Characterizing Structural Regularities of Labeled Data in
  Overparameterized Models
Characterizing Structural Regularities of Labeled Data in Overparameterized Models
Ziheng Jiang
Chiyuan Zhang
Kunal Talwar
Michael C. Mozer
TDI
59
102
0
08 Feb 2020
Learning De-biased Representations with Biased Representations
Learning De-biased Representations with Biased Representations
Hyojin Bahng
Sanghyuk Chun
Sangdoo Yun
Jaegul Choo
Seong Joon Oh
OOD
381
281
0
07 Oct 2019
RandAugment: Practical automated data augmentation with a reduced search
  space
RandAugment: Practical automated data augmentation with a reduced search space
E. D. Cubuk
Barret Zoph
Jonathon Shlens
Quoc V. Le
MQ
234
3,490
0
30 Sep 2019
Contrastive Multiview Coding
Contrastive Multiview Coding
Yonglong Tian
Dilip Krishnan
Phillip Isola
SSL
169
2,403
0
13 Jun 2019
Learning Robust Global Representations by Penalizing Local Predictive
  Power
Learning Robust Global Representations by Penalizing Local Predictive Power
Haohan Wang
Songwei Ge
Eric Xing
Zachary Chase Lipton
OOD
122
962
0
29 May 2019
CutMix: Regularization Strategy to Train Strong Classifiers with
  Localizable Features
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
OOD
619
4,780
0
13 May 2019
Efficient Video Classification Using Fewer Frames
Efficient Video Classification Using Fewer Frames
S. Bhardwaj
Mukundhan Srinivasan
Mitesh M. Khapra
74
88
0
27 Feb 2019
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text
  Classification Tasks
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks
Jason W. Wei
Kai Zou
110
1,957
0
31 Jan 2019
Experience Replay for Continual Learning
Experience Replay for Continual Learning
David Rolnick
Arun Ahuja
Jonathan Richard Schwarz
Timothy Lillicrap
Greg Wayne
CLL
116
1,163
0
28 Nov 2018
Exploring the Limits of Weakly Supervised Pretraining
Exploring the Limits of Weakly Supervised Pretraining
D. Mahajan
Ross B. Girshick
Vignesh Ramanathan
Kaiming He
Manohar Paluri
Yixuan Li
Ashwin R. Bharambe
Laurens van der Maaten
VLM
185
1,368
0
02 May 2018
Obfuscated Gradients Give a False Sense of Security: Circumventing
  Defenses to Adversarial Examples
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
Anish Athalye
Nicholas Carlini
D. Wagner
AAML
226
3,186
0
01 Feb 2018
Neural Discrete Representation Learning
Neural Discrete Representation Learning
Aaron van den Oord
Oriol Vinyals
Koray Kavukcuoglu
BDLSSLOCL
226
5,019
0
02 Nov 2017
Bottom-Up and Top-Down Attention for Image Captioning and Visual
  Question Answering
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
Peter Anderson
Xiaodong He
Chris Buehler
Damien Teney
Mark Johnson
Stephen Gould
Lei Zhang
AIMat
121
4,216
0
25 Jul 2017
Towards Deep Learning Models Resistant to Adversarial Attacks
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILMOOD
307
12,069
0
19 Jun 2017
Making the V in VQA Matter: Elevating the Role of Image Understanding in
  Visual Question Answering
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
Yash Goyal
Tejas Khot
D. Summers-Stay
Dhruv Batra
Devi Parikh
CoGe
342
3,246
0
02 Dec 2016
Categorical Reparameterization with Gumbel-Softmax
Categorical Reparameterization with Gumbel-Softmax
Eric Jang
S. Gu
Ben Poole
BDL
339
5,364
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
196
2,533
0
02 Nov 2016
YouTube-8M: A Large-Scale Video Classification Benchmark
YouTube-8M: A Large-Scale Video Classification Benchmark
Sami Abu-El-Haija
Nisarg Kothari
Joonseok Lee
Apostol Natsev
G. Toderici
Balakrishnan Varadarajan
Sudheendra Vijayanarasimhan
VLM
151
1,270
0
27 Sep 2016
Adversarial Feature Learning
Adversarial Feature Learning
Jiasen Lu
Philipp Krahenbuhl
Trevor Darrell
GAN
111
1,610
0
31 May 2016
VQA: Visual Question Answering
VQA: Visual Question Answering
Aishwarya Agrawal
Jiasen Lu
Stanislaw Antol
Margaret Mitchell
C. L. Zitnick
Dhruv Batra
Devi Parikh
CoGe
202
5,478
0
03 May 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAMLGAN
277
19,066
0
20 Dec 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
468
43,658
0
17 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLMObjD
1.7K
39,547
0
01 Sep 2014
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