Work

Optimizing Object Detection in Remote Towers: A Self-Improving Approach through Adaptive Annotation and Model Re-Training

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Civil Aviation Safety and Information Technology (ICCASIT)

DOI: 10.1109/iccasit62299.2024.10827905

Authors: Zhenci Yang, Meng Zhao, Fu Chen

Institution: Civil Aviation Administration of China

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: National Key Research and Development Program of China

OpenAlex ID: W4406355420

FWCI:

Cites: 10

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Related to: 10