<?xml version="1.0" encoding="UTF-8"?><resource xmlns="http://datacite.org/schema/kernel-4"><identifier identifierType="URL">https://inrepscholar.com/projects/963</identifier><creators><creator><creatorName>Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun</creatorName></creator></creators><titles><title>faster-r-cnn-towards-real-time-object-detection-with-region-proposal-networks-2021-024</title></titles><publisher>UFTAN UNIVERSITY</publisher><publicationYear>2021</publicationYear><resourceType resourceTypeGeneral="Text">Masters Thesis</resourceType><descriptions><description descriptionType="Abstract">This record links to the Faster R-CNN paper, which introduces region proposal networks for efficient object detection. It is suitable for testing robotics, intelligent systems, and engineering repository metadata.</description></descriptions></resource>