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On Improving the Algorithm-, Model-, and Data- Efficiency of
  Self-Supervised Learning

On Improving the Algorithm-, Model-, and Data- Efficiency of Self-Supervised Learning

30 April 2024
Yunhao Cao
Jianxin Wu
ArXivPDFHTML

Papers citing "On Improving the Algorithm-, Model-, and Data- Efficiency of Self-Supervised Learning"

5 / 5 papers shown
Title
Training Vision Transformers with Only 2040 Images
Training Vision Transformers with Only 2040 Images
Yunhao Cao
Hao Yu
Jianxin Wu
ViT
97
42
0
26 Jan 2022
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
ViT
TPM
290
7,434
0
11 Nov 2021
SEED: Self-supervised Distillation For Visual Representation
SEED: Self-supervised Distillation For Visual Representation
Zhiyuan Fang
Jianfeng Wang
Lijuan Wang
Lei Zhang
Yezhou Yang
Zicheng Liu
SSL
231
190
0
12 Jan 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
240
3,367
0
09 Mar 2020
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
VLM
ObjD
282
39,190
0
01 Sep 2014
1