Yang, N.; Rongione, C.; Jacquemart, A.-L.; Draye, X.; Vleeschouwer, C.D.
On the Importance of Diversity When Training Deep Learning Segmentation Models with Error-Prone Pseudo-Labels. Appl. Sci. 2024, 14, 5156.
https://doi.org/10.3390/app14125156
AMA Style
Yang N, Rongione C, Jacquemart A-L, Draye X, Vleeschouwer CD.
On the Importance of Diversity When Training Deep Learning Segmentation Models with Error-Prone Pseudo-Labels. Applied Sciences. 2024; 14(12):5156.
https://doi.org/10.3390/app14125156
Chicago/Turabian Style
Yang, Nana, Charles Rongione, Anne-Laure Jacquemart, Xavier Draye, and Christophe De Vleeschouwer.
2024. "On the Importance of Diversity When Training Deep Learning Segmentation Models with Error-Prone Pseudo-Labels" Applied Sciences 14, no. 12: 5156.
https://doi.org/10.3390/app14125156
APA Style
Yang, N., Rongione, C., Jacquemart, A.-L., Draye, X., & Vleeschouwer, C. D.
(2024). On the Importance of Diversity When Training Deep Learning Segmentation Models with Error-Prone Pseudo-Labels. Applied Sciences, 14(12), 5156.
https://doi.org/10.3390/app14125156