R-FCN
Region-based Fully Convolutional Network
**Region-based Fully Convolutional Networks**, or **R-FCNs**, are a type of region-based object detector. In contrast to previous region-based object detectors such as Fast/[Faster R-CNN](https://paperswithcode.com/method/faster-r-cnn) that apply a costly per-region subnetwork hundreds of times, R-FCN is fully convolutional with almost all computation shared on the entire image.

To achieve this, R-FCN utilises position-sensitive score maps to address a dilemma between translation-invariance in image classification and translation-variance in object detection.
R-FCN: Object Detection via Region-based Fully Convolutional Networks
https://paperswithcode.com/paper/r-fcn-object-detection-via-region-based-fully
R-FCN: Object Detection via Region-based Fully Convolutional Networks