SAM for Road Object Segmentation: Promising but Challenging.

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Bibliographic Details
Title: SAM for Road Object Segmentation: Promising but Challenging.
Authors: Almazroey AA; Faculty of Computing and Information Technology, Computer Science Department, King Abdulaziz University, Jeddah 21589, Saudi Arabia., Kammoun Jarraya S; Faculty of Computing and Information Technology, Computer Science Department, King Abdulaziz University, Jeddah 21589, Saudi Arabia., Alnanih R; Faculty of Computing and Information Technology, Computer Science Department, King Abdulaziz University, Jeddah 21589, Saudi Arabia.
Source: Journal of imaging [J Imaging] 2025 Jun 10; Vol. 11 (6). Date of Electronic Publication: 2025 Jun 10.
Publication Type: Journal Article
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101698819 Publication Model: Electronic Cited Medium: Internet ISSN: 2313-433X (Electronic) Linking ISSN: 2313433X NLM ISO Abbreviation: J Imaging Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2313-433X
DOI:10.3390/jimaging11060189