Day: May 9, 2016

Authors: Joseph Redmon, Santosh Divvala, Ross Girshick, Ali Farhadi Abstract: We present YOLO, a new approach to object detection. Prior work on object detection repurposes classifiers to perform detection. Instead, we frame object detection as a regression problem to spatially separated bounding boxes and associated class probabilities. A single neural network predicts bounding boxes and […]