all AI news
Motion-Corrected Moving Average: Including Post-Hoc Temporal Information for Improved Video Segmentation
March 6, 2024, 5:45 a.m. | Robert MendelRegensburg Medical Image Computing, Tobias RueckertRegensburg Medical Image Computing, Dirk WilhelmDepartment of Surgery, Faculty of Medi
cs.CV updates on arXiv.org arxiv.org
Abstract: Real-time computational speed and a high degree of precision are requirements for computer-assisted interventions. Applying a segmentation network to a medical video processing task can introduce significant inter-frame prediction noise. Existing approaches can reduce inconsistencies by including temporal information but often impose requirements on the architecture or dataset. This paper proposes a method to include temporal information in any segmentation model and, thus, a technique to improve video segmentation performance without alterations during training or …
abstract arxiv computational computer cs.cv information medical moving network noise precision prediction processing real-time reduce requirements segmentation speed temporal type video video processing
More from arxiv.org / cs.CV updates on arXiv.org
Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs
1 day, 23 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
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
AIML - Sr Machine Learning Engineer, Data and ML Innovation
@ Apple | Seattle, WA, United States
Senior Data Engineer
@ Palta | Palta Cyprus, Palta Warsaw, Palta remote