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Multi-View Correlation Consistency for Semi-Supervised Semantic
  Segmentation

Multi-View Correlation Consistency for Semi-Supervised Semantic Segmentation

17 August 2022
Yunzhong Hou
Stephen Gould
Liang Zheng
ArXivPDFHTML

Papers citing "Multi-View Correlation Consistency for Semi-Supervised Semantic Segmentation"

3 / 3 papers shown
Title
Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive
  Learning from a Class-wise Memory Bank
Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank
Inigo Alonso
Alberto Sabater
David Ferstl
Luis Montesano
Ana C. Murillo
SSL
CLL
119
202
0
27 Apr 2021
Simple Copy-Paste is a Strong Data Augmentation Method for Instance
  Segmentation
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Golnaz Ghiasi
Yin Cui
A. Srinivas
Rui Qian
Tsung-Yi Lin
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
223
962
0
13 Dec 2020
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
244
1,276
0
06 Mar 2017
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