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GuidedMix-Net: Semi-supervised Semantic Segmentation by Using Labeled
  Images as Reference

GuidedMix-Net: Semi-supervised Semantic Segmentation by Using Labeled Images as Reference

28 December 2021
Peng Tu
Yawen Huang
Feng Zheng
Zhenyu He
Liujun Cao
Ling Shao
ArXivPDFHTML

Papers citing "GuidedMix-Net: Semi-supervised Semantic Segmentation by Using Labeled Images as Reference"

4 / 4 papers shown
Title
Efficient Subclass Segmentation in Medical Images
Efficient Subclass Segmentation in Medical Images
Linrui Dai
Wenhui Lei
Xiaofan Zhang
19
1
0
01 Jul 2023
Co-training with High-Confidence Pseudo Labels for Semi-supervised
  Medical Image Segmentation
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation
Zhiqiang Shen
Peng Cao
Hua Yang
Xiaoli Liu
Jinzhu Yang
Osmar R. Zaiane
30
38
0
11 Jan 2023
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
127
203
0
27 Apr 2021
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
198
5,176
0
16 Sep 2016
1