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Scaling Training Data with Lossy Image Compression

Scaling Training Data with Lossy Image Compression

25 July 2024
Katherine L. Mentzer
Andrea Montanari
ArXiv (abs)PDFHTML

Papers citing "Scaling Training Data with Lossy Image Compression"

15 / 15 papers shown
Title
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
194
3,482
0
16 Oct 2022
Revisiting Neural Scaling Laws in Language and Vision
Revisiting Neural Scaling Laws in Language and Vision
Ibrahim Alabdulmohsin
Behnam Neyshabur
Xiaohua Zhai
213
110
0
13 Sep 2022
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
3DV
460
15,665
0
20 Dec 2021
SegFormer: Simple and Efficient Design for Semantic Segmentation with
  Transformers
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
Enze Xie
Wenhai Wang
Zhiding Yu
Anima Anandkumar
J. Álvarez
Ping Luo
ViT
303
5,051
0
31 May 2021
Explaining Neural Scaling Laws
Explaining Neural Scaling Laws
Yasaman Bahri
Ethan Dyer
Jared Kaplan
Jaehoon Lee
Utkarsh Sharma
68
269
0
12 Feb 2021
Scaling Laws for Transfer
Scaling Laws for Transfer
Danny Hernandez
Jared Kaplan
T. Henighan
Sam McCandlish
87
247
0
02 Feb 2021
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
608
4,893
0
23 Jan 2020
A Constructive Prediction of the Generalization Error Across Scales
A Constructive Prediction of the Generalization Error Across Scales
Jonathan S. Rosenfeld
Amir Rosenfeld
Yonatan Belinkov
Nir Shavit
103
214
0
27 Sep 2019
iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images
iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images
Syed Waqas Zamir
Aditya Arora
Akshita Gupta
Salman Khan
Guolei Sun
Fahad Shahbaz Khan
Fan Zhu
Ling Shao
Guisong Xia
X. Bai
SSegVLM
72
347
0
30 May 2019
Deep Learning Scaling is Predictable, Empirically
Deep Learning Scaling is Predictable, Empirically
Joel Hestness
Sharan Narang
Newsha Ardalani
G. Diamos
Heewoo Jun
Hassan Kianinejad
Md. Mostofa Ali Patwary
Yang Yang
Yanqi Zhou
99
742
0
01 Dec 2017
Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with
  JPEG Compression
Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression
Nilaksh Das
Madhuri Shanbhogue
Shang-Tse Chen
Fred Hohman
Li-Wei Chen
Michael E. Kounavis
Duen Horng Chau
AAML
64
307
0
08 May 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
352
27,230
0
20 Mar 2017
A study of the effect of JPG compression on adversarial images
A study of the effect of JPG compression on adversarial images
Gintare Karolina Dziugaite
Zoubin Ghahramani
Daniel M. Roy
AAML
86
534
0
02 Aug 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
1.1K
11,641
0
06 Apr 2016
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
413
43,777
0
01 May 2014
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