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Union-set Multi-source Model Adaptation for Semantic Segmentation

Union-set Multi-source Model Adaptation for Semantic Segmentation

6 December 2022
Zongyao Li
Ren Togo
Takahiro Ogawa
Miki Haseyama
ArXivPDFHTML

Papers citing "Union-set Multi-source Model Adaptation for Semantic Segmentation"

5 / 5 papers shown
Title
Enhancing Generative Class Incremental Learning Performance with Model
  Forgetting Approach
Enhancing Generative Class Incremental Learning Performance with Model Forgetting Approach
Taro Togo
Ren Togo
Keisuke Maeda
Takahiro Ogawa
Miki Haseyama
31
1
0
27 Mar 2024
Integrating Multiple Sources Knowledge for Class Asymmetry Domain
  Adaptation Segmentation of Remote Sensing Images
Integrating Multiple Sources Knowledge for Class Asymmetry Domain Adaptation Segmentation of Remote Sensing Images
Kuiliang Gao
Anzhu Yu
Xiong You
Wenyue Guo
Ke Li
Ningbo Huang
36
8
0
17 May 2023
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
Jian Liang
R. He
Tien-Ping Tan
OOD
VLM
TTA
35
203
0
27 Mar 2023
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
188
497
0
08 Mar 2020
Fully Convolutional Adaptation Networks for Semantic Segmentation
Fully Convolutional Adaptation Networks for Semantic Segmentation
Yiheng Zhang
Zhaofan Qiu
Ting Yao
Dong Liu
Tao Mei
SSeg
OOD
163
349
0
23 Apr 2018
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