R-CNN
R-CNN
**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](https://paperswithcode.com/method/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.
Rich feature hierarchies for accurate object detection and semantic segmentation
https://paperswithcode.com/paper/rich-feature-hierarchies-for-accurate-object
Rich feature hierarchies for accurate object detection and semantic segmentation