Open Set Task Augmentation Facilitates Generalization of Deep Neural Networks Trained on Small Data Sets
Published in Neural Computing and Applications, 34, 6067β6083, 2022
Recommended citation: Wadhah Zai El Amri, Felix Reinhart, Wolfram Schenck (2022). "Open Set Task Augmentation Facilitates Generalization of Deep Neural Networks Trained on Small Data Sets." Neural Computing and Applications, 34, 6067β6083. https://link.springer.com/article/10.1007/s00521-021-06753-6
Topics: Machine Learning, Deep Learning, Image Processing.