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What is: R-CNN?

SourceRich feature hierarchies for accurate object detection and semantic segmentation
Year2000
Data SourceCC BY-SA - https://paperswithcode.com

R-CNN, or Regions with CNN Features, is an object detection model that uses high-capacity CNNs to bottom-up region proposals in order to localize and segment objects. It uses selective search to identify a number of bounding-box object region candidates (“regions of interest”), and then extracts features from each region independently for classification.