Jin, B., Lu, Z., He, L., & Yu, P. (2025). FT-YOLO: a UAV-oriented small-object detection algorithm based on feature enhancement and task synchronization. The Journal of Supercomputing: An International Journal of High-Performance Computer Design, Analysis, and Use, 81(16). https://doi.org/10.1007/s11227-025-07947-8
ISO-690 (author-date, English)JIN, Bing, LU, Zhimin, HE, Lesheng und YU, Pengfei, 2025. FT-YOLO: a UAV-oriented small-object detection algorithm based on feature enhancement and task synchronization. The Journal of Supercomputing: An International Journal of High-Performance Computer Design, Analysis, and Use. 1 November 2025. Vol. 81, no. 16, . DOI 10.1007/s11227-025-07947-8.
Modern Language Association 9th editionJin, B., Z. Lu, L. He, und P. Yu. „FT-YOLO: A UAV-Oriented Small-Object Detection Algorithm Based on Feature Enhancement and Task Synchronization“. The Journal of Supercomputing: An International Journal of High-Performance Computer Design, Analysis, and Use, Bd. 81, Nr. 16, November 2025, https://doi.org/10.1007/s11227-025-07947-8.
Mohr Siebeck - Recht (Deutsch - Österreich)Jin, Bing/Lu, Zhimin/He, Lesheng/Yu, Pengfei: FT-YOLO: a UAV-oriented small-object detection algorithm based on feature enhancement and task synchronization, The Journal of Supercomputing: An International Journal of High-Performance Computer Design, Analysis, and Use 2025,
Emerald - HarvardJin, B., Lu, Z., He, L. und Yu, P. (2025), „FT-YOLO: a UAV-oriented small-object detection algorithm based on feature enhancement and task synchronization“, The Journal of Supercomputing: An International Journal of High-Performance Computer Design, Analysis, and Use, Vol. 81 No. 16, verfügbar unter:https://doi.org/10.1007/s11227-025-07947-8.