Video-STaR: Self-Training Enables Video Instruction Tuning with Any Supervision [PDF]
arXivThe performance of Large Vision Language Models (LVLMs) is dependent on the size and quality of their training datasets. Existing video instruction tuning datasets lack diversity as they are derived by prompting large language models with video captions to generate question-answer pairs, and are therefore mostly descriptive.
arxiv
Comparison of the Success of Two Techniques for the Endotracheal Intubation with C-MAC Video Laryngoscope Miller Blade in Children: A Prospective Randomized Study [PDF]
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GlideScope video laryngoscope-assisted nasotracheal intubation by cuff-inflation technique in head and neck cancer patients [PDF]
, 2016 Nishkarsh Gupta +3 more
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Airtraq laryngoscope: Embracing video laryngoscopy
Saudi Journal of Anaesthesia, 2016 M J Criado-Alonso +3 more
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Difficult Direct Laryngoscopy Followed by Easy Video Laryngoscopic Intubation in a Patient with Bilateral Mandibular Tori: Should the Patient be Labeled as Having a "Difficult Airway?" [PDF]
, 2017 JB Tan +4 more
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Improving pediatric resident laryngoscopy training through the use of a video laryngoscope [PDF]
, 2018 Weerapong Lilitwat +2 more
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Designing A Video Laryngoscope Imaging System with A 7-mm Blade for Neonatal Patients [PDF]
, 2018 Ming-Ying Hsu +2 more
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Comparison of the novel VieScope with conventional and video laryngoscope in a difficult airway scenario – a randomized, controlled simulation trial [PDF]
, 2021 Hannes Ecker +4 more
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Apparent blind spot with the GlideScope® video laryngoscope [PDF]
British Journal of Anaesthesia, 2009 Y. Hirabayashi, Y. Otsuka
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