Mix-up Self-Supervised Learning for Contrast-agnostic Applications

Mix-up Self-Supervised Learning for Contrast-agnostic Applications

2 April 2022

Roger Zimmermann

Papers citing "Mix-up Self-Supervised Learning for Contrast-agnostic Applications"

4 / 4 papers shown

Title
Representation Synthesis by Probabilistic Many-Valued Logic Operation in Self-Supervised Learning Hiroki Nakamura Masashi Okada T. Taniguchi SSL NAI 25 0 0 08 Sep 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability Chengtai Cao Fan Zhou Yurou Dai Jianping Wang Kunpeng Zhang AAML 24 28 0 21 Dec 2022
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 317 5,785 0 29 Apr 2021
MixCo: Mix-up Contrastive Learning for Visual Representation Sungnyun Kim Gihun Lee Sangmin Bae Seyoung Yun SSL 112 80 0 13 Oct 2020