March 15, 2024, 4:45 a.m. | Qiyuan Wang, Yanzhe Liu, Shang Zhao, Rong Liu, S. Kevin Zhou

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.09551v1 Announce Type: new
Abstract: Weakly supervised surgical instrument segmentation with only instrument presence labels has been rarely explored in surgical domain. To mitigate the highly under-constrained challenges, we extend a two-stage weakly supervised segmentation paradigm with temporal attributes from two perspectives. From a temporal equivariance perspective, we propose a prototype-based temporal equivariance regulation loss to enhance pixel-wise consistency between adjacent features. From a semantic continuity perspective, we propose a class-aware temporal semantic continuity loss to constrain the semantic consistency …

abstract arxiv challenges continuity cs.cv domain labels paradigm perspective perspectives segmentation semantic stage temporal type

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Intern Large Language Models Planning (f/m/x)

@ BMW Group | Munich, DE

Data Engineer Analytics

@ Meta | Menlo Park, CA | Remote, US