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Exploring Non-contrastive Self-supervised Representation Learning for Image-based Profiling

Exploring Non-contrastive Self-supervised Representation Learning for Image-based Profiling

17 June 2025
Siran Dai
Qianqian Xu
Peisong Wen
Yang Liu
Qingming Huang
ArXiv (abs)PDFHTML

Papers citing "Exploring Non-contrastive Self-supervised Representation Learning for Image-based Profiling"

11 / 11 papers shown
Title
Causal integration of chemical structures improves representations of microscopy images for morphological profiling
Causal integration of chemical structures improves representations of microscopy images for morphological profiling
Yemin Yu
Neil A. Tenenholtz
Lester W. Mackey
Ying Wei
David Alvarez-Melis
Ava P. Amini
Alex X. Lu
61
1
0
13 Apr 2025
When the Future Becomes the Past: Taming Temporal Correspondence for Self-supervised Video Representation Learning
When the Future Becomes the Past: Taming Temporal Correspondence for Self-supervised Video Representation Learning
Yang Liu
Qianqian Xu
Peisong Wen
Siran Dai
Qingming Huang
AI4TS
58
2
0
19 Mar 2025
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
83
740
0
15 Nov 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
700
6,121
0
29 Apr 2021
Exploring Simple Siamese Representation Learning
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
258
4,067
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
667
41,369
0
22 Oct 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
374
6,833
0
13 Jun 2020
Self-Supervised Learning of Pretext-Invariant Representations
Self-Supervised Learning of Pretext-Invariant Representations
Ishan Misra
Laurens van der Maaten
SSLVLM
108
1,458
0
04 Dec 2019
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
207
12,121
0
13 Nov 2019
Deep Semantic Segmentation of Natural and Medical Images: A Review
Deep Semantic Segmentation of Natural and Medical Images: A Review
Saeid Asgari Taghanaki
Kumar Abhishek
Joseph Paul Cohen
Julien Cohen-Adad
Ghassan Hamarneh
SSegVLM
134
682
0
16 Oct 2019
Unsupervised Learning of Visual Representations by Solving Jigsaw
  Puzzles
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
M. Noroozi
Paolo Favaro
SSL
174
5
0
30 Mar 2016
1