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

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。

...About 7 min

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

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 。

...About 14 min

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

...About 12 min

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

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

...About 10 min

DACS: Domain Adaptation via Cross-domain Mixed Sampling

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

...About 10 min