Trusted Multi-View Classification With Dynamic Evidential Fusion-Reference-Cited by-同舟云学术

Trusted Multi-View Classification With Dynamic Evidential Fusion

Author:

Han Zongbo¹,Zhang Changqing¹^ORCID,Fu Huazhu²^ORCID,Zhou Joey Tianyi³^ORCID

Affiliation:

1. College of Intelligence and Computing, Tianjin University, Tianjin, China

2. Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), Singapore

3. A*STAR Centre for Frontier AI Research (CFAR), Agency for Science, Technology and Research (A*STAR), Singapore

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

A*STAR AI3 HTPO Seed Fund

Joey Tianyi Zhou's A*STAR SERCCentral Research Fund

AME Programmatic Funding Scheme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

Reference109 articles.

5. AMVNet: Assertion-based multi-view fusion network for lidar semantic segmentation;liong,2020

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