Feb. 10, 2024, 3:04 a.m. | Muhammad Athar Ganaie

MarkTechPost www.marktechpost.com

Optical flow estimation, a cornerstone of computer vision, enables predicting per-pixel motion between consecutive images. This technology fuels advancements in numerous applications, from enhancing action recognition and video interpolation to improving autonomous navigation and object tracking systems. Traditionally, progress in this domain has been propelled by developing more complex models that promise higher accuracy. However, […]


The post This AI Paper from China Proposes a Small and Efficient Model for Optical Flow Estimation appeared first on MarkTechPost.

action recognition ai paper ai shorts applications artificial intelligence autonomous china computer computer vision domain editors pick flow images language model large language model navigation optical optical flow paper per pixel progress recognition small staff systems tech news technology tracking video vision

More from www.marktechpost.com / MarkTechPost

Senior Machine Learning Engineer

@ GPTZero | Toronto, Canada

ML/AI Engineer / NLP Expert - Custom LLM Development (x/f/m)

@ HelloBetter | Remote

Doctoral Researcher (m/f/div) in Automated Processing of Bioimages

@ Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) | Jena

Seeking Developers and Engineers for AI T-Shirt Generator Project

@ Chevon Hicks | Remote

Senior Applied Data Scientist

@ dunnhumby | London

Principal Data Architect - Azure & Big Data

@ MGM Resorts International | Home Office - US, NV