Raw Instinct: Trust Your Classifiers and Skip the Conversion

arXiv:2403.14439v1 Announce Type: new
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