How many labeled license plates are needed?

no code implementations • 25 Aug 2018 • Changhao Wu, Shugong Xu, Guocong Song, Shunqing Zhang

As a large amount of labeled data is typically difficult to collect and even more difficult to annotate, data augmentation and data generation are widely used in the process of training deep neural networks.

Data Augmentation License Plate Recognition

Collaborative Learning for Deep Neural Networks

no code implementations • NeurIPS 2018 • Guocong Song, Wei Chai

We introduce collaborative learning in which multiple classifier heads of the same network are simultaneously trained on the same training data to improve generalization and robustness to label noise with no extra inference cost.

Knowledge Distillation Multi-Task Learning