MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning

MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning

16 September 2022

Jiangmeng Li

Papers citing "MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning"

7 / 7 papers shown

Title
Aerial Image Object Detection With Vision Transformer Detector (ViTDet) Liya Wang A. Tien 37 7 0 28 Jan 2023
Modeling Multiple Views via Implicitly Preserving Global Consistency and Local Complementarity Jiangmeng Li Wenwen Qiang Changwen Zheng Bing-Huang Su Farid Razzak Ji-Rong Wen Hui Xiong 29 6 0 16 Sep 2022
Gradient-based Bi-level Optimization for Deep Learning: A Survey Can Chen Xiangshan Chen Chen-li Ma Zixuan Liu Xue Liu 81 35 0 24 Jul 2022
Interventional Contrastive Learning with Meta Semantic Regularizer Wenwen Qiang Jiangmeng Li Changwen Zheng Bing-Huang Su Hui Xiong 13 23 0 29 Jun 2022
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
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations Debidatta Dwibedi Y. Aytar Jonathan Tompson P. Sermanet Andrew Zisserman SSL 183 450 0 29 Apr 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 243 3,367 0 09 Mar 2020