PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation

Basic Information

• Mu Chen, Zhedong Zheng, Yi Yang, Tat-Seng Chua
• 2022 ACM Multimedia

問題描述

這一篇與過去看過的 DACS, ProDA, DAFormer, HRDA 同樣都是以 Unsupervised 的方式解決 Semantic Segmentationb 的 Domain Adaptation問題。

HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation

Basic Information

• Lukas Hoyer, Dengxin Dai, Luc Van Gool @ ETH Zurich & MPI for Informatics
• 2022 ECCV

問題描述

這篇 paper 如同 DAFormer 關注在 UDA for semantic segmentation 。

DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation

Basic Information

• Lukas Hoyer, Dengxin Dai, Luc Van Gool @ ETH Zurich & MPI for Informatics
• 2022 CVPR

Image from Lukas Hoyer, Dengxin Dai, Luc Van Gool (2022)

Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation

Basic Information

• Pan Zhang1, Bo Zhang, Ting Zhang, Dong Chen, Yong Wang, Fang Wen @ University of Science and Technology of China, Microsoft Research Asia
• 2021 CVPR

DACS: Domain Adaptation via Cross-domain Mixed Sampling

Basic Information

• 2020 Release
• 2021 WACV(Winter Conference on Applications of Computer Vision)
• Chalmers University of Technology(查爾摩斯理工大學)與 Volvo Cars 共同發表

What is Domain Adaption