Can Generative Models Improve Self-Supervised Representation Learning?

9 March 2024

Papers citing "Can Generative Models Improve Self-Supervised Representation Learning?"

7 / 7 papers shown

Title
Diffusion Models and Representation Learning: A Survey Michael Fuest Pingchuan Ma Ming Gui Johannes S. Fischer Vincent Tao Hu Bjorn Ommer DiffM 24 19 0 30 Jun 2024
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
Instance-Conditioned GAN Arantxa Casanova Marlene Careil Jakob Verbeek M. Drozdzal Adriana Romero Soriano GAN 199 132 0 10 Sep 2021
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
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 212 19,191 0 21 Nov 2016
Conditional Image Synthesis With Auxiliary Classifier GANs Augustus Odena C. Olah Jonathon Shlens GAN 224 3,183 0 30 Oct 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 229 74,467 0 18 May 2015