Interactive hierarchical object proposals

• Main Authors: CHEN, Mingliang, ZHANG, Jiawei, HE, Shengfeng, YANG, Qingxiong, LI, Qing, YANG, Ming-Hsuan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Object proposal; interactive extraction; transfer learning; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/7864
• Institution: Singapore Management University

Object proposal algorithms have been demonstrated to be very successful in accelerating object detection process. High object localization quality and detection recall can be obtained using thousands of proposals. However, the performance with a small number of proposals is still unsatisfactory. Thi...