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Generating Reliable Pixel-Level Labels for Source Free Domain Adaptation

Generating Reliable Pixel-Level Labels for Source Free Domain Adaptation

3 July 2023
Gabriel Tjio
Ping Liu
Yawei Luo
C. Kwoh
Joey Zhou Tianyi
    VLM
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Papers citing "Generating Reliable Pixel-Level Labels for Source Free Domain Adaptation"

5 / 5 papers shown
Title
Unsupervised Adaptation of Semantic Segmentation Models without Source
  Data
Unsupervised Adaptation of Semantic Segmentation Models without Source Data
S. Paul
Ansh Khurana
Gaurav Aggarwal
OOD
118
7
0
04 Dec 2021
TSIT: A Simple and Versatile Framework for Image-to-Image Translation
TSIT: A Simple and Versatile Framework for Image-to-Image Translation
Liming Jiang
Changxu Zhang
Mingyang Huang
Chunxiao Liu
Jianping Shi
Chen Change Loy
DiffM
166
114
0
23 Jul 2020
Label-Driven Reconstruction for Domain Adaptation in Semantic
  Segmentation
Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation
Jinyu Yang
Weizhi An
Sheng Wang
Xinliang Zhu
Chao-chao Yan
Junzhou Huang
69
109
0
10 Mar 2020
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain
  Adaptive Semantic Segmentation
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation
Zhedong Zheng
Yi Yang
NoLa
177
497
0
08 Mar 2020
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
212
19,444
0
21 Nov 2016
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