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SC-RPN: A Strong Correlation Learning Framework for Region Proposal

Zou, WB; Zhang, ZY; Peng, YQ; Xiang, CQ; Tian, SS; Zhang, L

Tian, SS (corresponding author), Shenzhen Univ, Guangdong Key Lab Intelligent Informat Proc, Shenzhen Key Lab Adv Machine Learning & Applicat, Inst Artificial Intelligence & Adv Commun,Coll El, Shenzhen 518060, Peoples R China.

IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021; 30 (): 4084

Abstract

Current state-of-the-art two-stage detectors heavily rely on region proposals to guide the accurate detection for objects. In previous region proposal......

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