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Dual Advancement of Representation Learning and Clustering for Sparse
  and Noisy Images

Dual Advancement of Representation Learning and Clustering for Sparse and Noisy Images

3 September 2024
Wenlin Li
Yucheng Xu
Xiaoqing Zheng
Suoya Han
Jun Wang
Xiaobo Sun
ArXivPDFHTML

Papers citing "Dual Advancement of Representation Learning and Clustering for Sparse and Noisy Images"

17 / 17 papers shown
Title
Contrastive Masked Autoencoders are Stronger Vision Learners
Contrastive Masked Autoencoders are Stronger Vision Learners
Zhicheng Huang
Xiaojie Jin
Cheng Lu
Qibin Hou
Mingg-Ming Cheng
Dongmei Fu
Xiaohui Shen
Jiashi Feng
103
152
0
27 Jul 2022
ConvMAE: Masked Convolution Meets Masked Autoencoders
ConvMAE: Masked Convolution Meets Masked Autoencoders
Peng Gao
Teli Ma
Hongsheng Li
Ziyi Lin
Jifeng Dai
Yu Qiao
ViT
66
126
0
08 May 2022
iBOT: Image BERT Pre-Training with Online Tokenizer
iBOT: Image BERT Pre-Training with Online Tokenizer
Jinghao Zhou
Chen Wei
Huiyu Wang
Wei Shen
Cihang Xie
Alan Yuille
Tao Kong
81
734
0
15 Nov 2021
BEiT: BERT Pre-Training of Image Transformers
BEiT: BERT Pre-Training of Image Transformers
Hangbo Bao
Li Dong
Songhao Piao
Furu Wei
ViT
258
2,824
0
15 Jun 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
677
6,066
0
29 Apr 2021
Exploring Simple Siamese Representation Learning
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
253
4,052
0
20 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
637
41,003
0
22 Oct 2020
Are all negatives created equal in contrastive instance discrimination?
Are all negatives created equal in contrastive instance discrimination?
Tiffany Cai
Jonathan Frankle
D. Schwab
Ari S. Morcos
SSL
57
83
0
13 Oct 2020
Contrastive Clustering
Contrastive Clustering
Yunfan Li
Peng Hu
Zitao Liu
Dezhong Peng
Qiufeng Wang
Xi Peng
60
625
0
21 Sep 2020
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
OCL
SSL
230
4,074
0
17 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
363
6,797
0
13 Jun 2020
Prototypical Contrastive Learning of Unsupervised Representations
Prototypical Contrastive Learning of Unsupervised Representations
Junnan Li
Pan Zhou
Caiming Xiong
Guosheng Lin
SSL
DRL
134
972
0
11 May 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
358
18,752
0
13 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
199
12,074
0
13 Nov 2019
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
476
20,138
0
30 Oct 2017
Discriminatively Boosted Image Clustering with Fully Convolutional
  Auto-Encoders
Discriminatively Boosted Image Clustering with Fully Convolutional Auto-Encoders
Fengfu Li
Hong Qiao
Bo Zhang
Xuanyang Xi
SSL
69
250
0
23 Mar 2017
Unsupervised Deep Embedding for Clustering Analysis
Unsupervised Deep Embedding for Clustering Analysis
Junyuan Xie
Ross B. Girshick
Ali Farhadi
SSL
84
2,874
0
19 Nov 2015
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