InOR-Net: Incremental 3-D Object Recognition Network for Point Cloud Representation-Reference-Cited by-同舟云学术

InOR-Net: Incremental 3-D Object Recognition Network for Point Cloud Representation

Author:

Dong Jiahua¹^ORCID,Cong Yang¹^ORCID,Sun Gan¹^ORCID,Wang Lixu²,Lyu Lingjuan³,Li Jun⁴^ORCID,Konukoglu Ender⁵

Affiliation:

1. State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China

2. Computer Science Department, Northwestern University, Evanston, IL, USA

3. Sony AI, Tokyo, Japan

4. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China

5. Computer Vision Laboratory, ETH Zürich, Zürich, Switzerland

Funder

National Nature Science Foundation of China

State Key Laboratory of Robotics

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

Reference53 articles.

2. iCaRL: Incremental classifier and representation learning;rebuffi;Proc IEEE Conf Comput Vis Pattern Recognit,2017

3. End-to-end incremental learning;castro;Proc Eur Conf Comput Vis (ECCV),2018

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