Work

Object-Agnostic Vision Measurement Framework Based on One-Shot Learning and Behavior Tree

Year: 2022

Type: article

Source: IEEE Transactions on Cybernetics

DOI: 10.1109/tcyb.2022.3181054

Authors: Fangbo Qin, De Xu, Blake Hannaford, Tiantian Hao

Institutions: Chinese Academy of Sciences, Institute of Automation, University of Chinese Academy of Sciences, University of Washington

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, National Key Research and Development Program of China

Awards: G2994394706, G4223785682, G720904676

OpenAlex ID: W4284898803

FWCI: 1.145

Cites: 39

Cited by: 14

Related to: 10