Learning Where to Learn in Cross-View Self-Supervised Learning

Learning Where to Learn in Cross-View Self-Supervised Learning

28 March 2022

Fei Wang

Papers citing "Learning Where to Learn in Cross-View Self-Supervised Learning"

6 / 6 papers shown

Title
CoNe: Contrast Your Neighbours for Supervised Image Classification Mingkai Zheng Shan You Lang Huang Xiu Su Fei Wang Chao Qian Xiaogang Wang Chang Xu VLM 20 0 0 21 Aug 2023
Refine and Represent: Region-to-Object Representation Learning Akash Gokul Konstantinos Kallidromitis Shufang Li Yu Kato Kazuki Kozuka Trevor Darrell Colorado Reed SSeg 27 5 0 25 Aug 2022
Green Hierarchical Vision Transformer for Masked Image Modeling Lang Huang Shan You Mingkai Zheng Fei Wang Chao Qian T. Yamasaki 19 68 0 26 May 2022
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 295 5,761 0 29 Apr 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 238 3,359 0 09 Mar 2020
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 39,170 0 01 Sep 2014