8 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 2 cited
LMSeg: Language-guided Multi-dataset Segmentation
Qiang Zhou, Yuang Liu, Chaohui Yu +3
It's a meaningful and attractive topic to build a general and inclusive segmentation model that can recognize more categories in various scenarios. A straightforward way is to comb…
cs.CV2023
Foundation Model Drives Weakly Incremental Learning for Semantic Segmentation
Chaohui Yu, Qiang Zhou, Jingliang Li +3
Modern incremental learning for semantic segmentation methods usually learn new categories based on dense annotations. Although achieve promising results, pixel-by-pixel labeling i…
cs.LG2022★ 8 cited
Active Source Free Domain Adaptation
Fan Wang, Zhongyi Han, Zhiyan Zhang +1
Source free domain adaptation (SFDA) aims to transfer a trained source model to the unlabeled target domain without accessing the source data. However, the SFDA setting faces an ef…