all AI news
Raw Instinct: Trust Your Classifiers and Skip the Conversion
March 22, 2024, 4:45 a.m. | Christos Kantas (Aalborg University), Bj{\o}rk Antoniussen (Aalborg University), Mathias V. Andersen (Aalborg University), Rasmus Munks{\o} (Aalborg U
cs.CV updates on arXiv.org arxiv.org
Abstract: Using RAW-images in computer vision problems is surprisingly underexplored considering that converting from RAW to RGB does not introduce any new capture information. In this paper, we show that a sufficiently advanced classifier can yield equivalent results on RAW input compared to RGB and present a new public dataset consisting of RAW images and the corresponding converted RGB images. Classifying images directly from RAW is attractive, as it allows for skipping the conversion to RGB, …
abstract advanced arxiv classifier classifiers computer computer vision conversion cs.cv images information paper raw results show trust type vision
More from arxiv.org / cs.CV updates on arXiv.org
Compact 3D Scene Representation via Self-Organizing Gaussian Grids
1 day, 20 hours ago |
arxiv.org
Fingerprint Matching with Localized Deep Representation
1 day, 20 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote
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