Density-Aware Graph for Deep Semi-Supervised Visual Recognition

Density-Aware Graph for Deep Semi-Supervised Visual Recognition

30 March 2020

Qi Chu

Lu Yuan

Papers citing "Density-Aware Graph for Deep Semi-Supervised Visual Recognition"

8 / 8 papers shown

Title
DualHGNN: A Dual Hypergraph Neural Network for Semi-Supervised Node Classification based on Multi-View Learning and Density Awareness Jianpeng Liao Jun Yan Qian Tao 15 1 0 07 Jun 2023
MaxMatch: Semi-Supervised Learning with Worst-Case Consistency Yangbangyan Jiang Xiaodan Li Xiaodan Li YueFeng Chen Yuan He Qianqian Xu Zhiyong Yang Xiaochun Cao Qingming Huang 9 18 0 26 Sep 2022
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey Yanbei Chen Massimiliano Mancini Xiatian Zhu Zeynep Akata 36 113 0 24 Aug 2022
Improve Unsupervised Pretraining for Few-label Transfer Suichan Li Dongdong Chen Yinpeng Chen Lu Yuan Lei Zhang Qi Chu B. Liu Nenghai Yu SSL 13 20 0 26 Jul 2021
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semi-Supervised Classification P. Sellars Angelica I. Aviles-Rivero Carola-Bibiane Schönlieb 21 8 0 08 Jun 2021
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization Junnan Li Caiming Xiong S. Hoi SSL 19 252 0 23 Nov 2020
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average Ben Athiwaratkun Marc Finzi Pavel Izmailov A. Wilson 199 243 0 14 Jun 2018
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 261 1,275 0 06 Mar 2017