1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Bayesian Active Learning for Semantic Segmentation
Sima Didari, Wenjun Hu, Jae Oh Woo +3
Fully supervised training of semantic segmentation models is costly and challenging because each pixel within an image needs to be labeled. Therefore, the sparse pixel-level annota…
cs.CV2024★ 1 cited
RESMatch: Referring Expression Segmentation in a Semi-Supervised Manner
Ying Zang, Chenglong Fu, Runlong Cao +5
Referring expression segmentation (RES), a task that involves localizing specific instance-level objects based on free-form linguistic descriptions, has emerged as a crucial fronti…
cs.DB2024
Curator: Efficient Indexing for Multi-Tenant Vector Databases
Yicheng Jin, Yongji Wu, Wenjun Hu +3
Vector databases have emerged as key enablers for bridging intelligent applications with unstructured data, providing generic search and management support for embedding vectors ex…