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Context Autoencoder for Self-Supervised Representation Learning
v1v2v3 (latest)

Context Autoencoder for Self-Supervised Representation Learning

7 February 2022
Xiaokang Chen
Mingyu Ding
Xiaodi Wang
Ying Xin
Shentong Mo
Yunhao Wang
Shumin Han
Ping Luo
Gang Zeng
Jingdong Wang
    SSL
ArXiv (abs)PDFHTMLGithub (110★)

Papers citing "Context Autoencoder for Self-Supervised Representation Learning"

9 / 259 papers shown
Title
Representation Learning by Detecting Incorrect Location Embeddings
Representation Learning by Detecting Incorrect Location Embeddings
Sepehr Sameni
Simon Jenni
Paolo Favaro
ViT
62
5
0
10 Apr 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
92
39
0
29 Mar 2022
Beyond Masking: Demystifying Token-Based Pre-Training for Vision
  Transformers
Beyond Masking: Demystifying Token-Based Pre-Training for Vision Transformers
Yunjie Tian
Lingxi Xie
Jiemin Fang
Mengnan Shi
Junran Peng
Xiaopeng Zhang
Jianbin Jiao
Qi Tian
QiXiang Ye
73
20
0
27 Mar 2022
Masked Discrimination for Self-Supervised Learning on Point Clouds
Masked Discrimination for Self-Supervised Learning on Point Clouds
Haotian Liu
Mu Cai
Yong Jae Lee
3DPC
117
170
0
21 Mar 2022
MVP: Multimodality-guided Visual Pre-training
MVP: Multimodality-guided Visual Pre-training
Longhui Wei
Lingxi Xie
Wen-gang Zhou
Houqiang Li
Qi Tian
82
108
0
10 Mar 2022
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
148
245
0
24 Nov 2021
ViCE: Improving Dense Representation Learning by Superpixelization and
  Contrasting Cluster Assignment
ViCE: Improving Dense Representation Learning by Superpixelization and Contrasting Cluster Assignment
Robin Karlsson
Tomoki Hayashi
Keisuke Fujii
Alexander Carballo
Kento Ohtani
K. Takeda
SSL
60
4
0
24 Nov 2021
An Information Theory-inspired Strategy for Automatic Network Pruning
An Information Theory-inspired Strategy for Automatic Network Pruning
Xiawu Zheng
Yuexiao Ma
Teng Xi
Gang Zhang
Errui Ding
Yuchao Li
Jie Chen
Yonghong Tian
Rongrong Ji
194
13
0
19 Aug 2021
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
326
4,109
0
17 Jun 2020
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