Jan. 20, 2022, 2:10 a.m. | Oron Nir, Gal Rapoport, Ariel Shamir

cs.CV updates on arXiv.org arxiv.org

Cartoons and animation domain videos have very different characteristics
compared to real-life images and videos. In addition, this domain carries a
large variability in styles. Current computer vision and deep-learning
solutions often fail on animated content because they were trained on natural
images. In this paper we present a method to refine a semantic representation
suitable for specific animated content. We first train a neural network on a
large-scale set of animation videos and use the mapping to deep features …

animation arxiv cv labeling tracking

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

Alternant Data Engineering

@ Aspire Software | Angers, FR

Senior Software Engineer, Generative AI

@ Google | Dublin, Ireland