APA (7th ed.) Citation

Mei, R., Jia, S., Li, G., Lee, S. Y., Musser, B., Keller, W., . . . Shao, C. (2025). Hybrid Synthetic Data Generation with Domain Randomization Enables Zero-Shot Vision-Based Part Inspection Under Extreme Class Imbalance.

Chicago Style (17th ed.) Citation

Mei, Ruo-Syuan, Sixian Jia, Guangze Li, Soo Yeon Lee, Brian Musser, William Keller, Sreten Zakula, Jorge Arinez, and Chenhui Shao. Hybrid Synthetic Data Generation with Domain Randomization Enables Zero-Shot Vision-Based Part Inspection Under Extreme Class Imbalance. 2025.

MLA (9th ed.) Citation

Mei, Ruo-Syuan, et al. Hybrid Synthetic Data Generation with Domain Randomization Enables Zero-Shot Vision-Based Part Inspection Under Extreme Class Imbalance. 2025.

Warning: These citations may not always be 100% accurate.