Visual intelligence (VI) has revolutionized industries with their remarkable capabilities in image understanding and analysis. In recent years, there are many successful applications of VI technologies in industries, for example, using deep learning to train computers to monitor product quality. However, a salient fact is that the trustiness of visual technologies directly affects industrial production efficiency, product quality, safety, and traceability. Trusty VI may make the industrial operations much more efficient, improve resource (including human and material resources) utility and energy efficiency, and even help economic, environmental, and social sustainability.The motivation of this special issue is to advance trusty visual intelligence of industries, which connects to the industrial processes directly. We invite contributions that explore innovative methodologies and effective applications of visual analytics methods in industries.
Topics of interest:
Trusty imbalanced learning for industry
Interpretable deep learning models for industry
Knowledge embedded methods for industry
Trusty visual intelligence technologies for process monitoring
Trusty visual intelligence technologies for manufacturing
Trusty visual intelligence technologies for quality inspection
Trusty visual intelligence technologies for preventive maintenance
Trusty visual intelligence technologies for robotics
Automatic Annotation Tools for Image Data
Other trusty visual intelligence techniques and applications