no code implementations • 21 Nov 2023 • Mu Chen, Zhedong Zheng, Yi Yang
Based on such observation, we propose a depth-aware framework to explicitly leverage depth estimation to mix the categories and facilitate the two complementary tasks, i. e., segmentation and depth learning in an end-to-end manner.
1 code implementation • 14 Nov 2022 • Mu Chen, Zhedong Zheng, Yi Yang, Tat-Seng Chua
In an attempt to fill this gap, we propose a unified pixel- and patch-wise self-supervised learning framework, called PiPa, for domain adaptive semantic segmentation that facilitates intra-image pixel-wise correlations and patch-wise semantic consistency against different contexts.
Ranked #1 on Semantic Segmentation on SYNTHIA-to-Cityscapes