Unleashing the Power of Contrastive Self-Supervised Visual Models via
Contrast-Regularized Fine-Tuning

Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning

12 February 2021

Bryan Hooi

Jian Liang

Papers citing "Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning"

6 / 6 papers shown

Title
Which Augmentation Should I Use? An Empirical Investigation of Augmentations for Self-Supervised Phonocardiogram Representation Learning Aristotelis Ballas Vasileios Papapanagiotou Christos Diou 10 0 0 01 Dec 2023
Disentangling Writer and Character Styles for Handwriting Generation Gang Dai Yifan Zhang Qingfeng Wang Qing Du Zhu Liang Yu Zhuoman Liu Shuangping Huang 22 19 0 26 Mar 2023
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 283 5,723 0 29 Apr 2021
MixCo: Mix-up Contrastive Learning for Visual Representation Sungnyun Kim Gihun Lee Sangmin Bae Seyoung Yun SSL 87 69 0 13 Oct 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 229 3,029 0 09 Mar 2020
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 261 10,106 0 16 Nov 2016