Multi-Pseudo Regularized Label for Generated Data in Person Re-Identification
Multi-Pseudo Regularized Label for Generated Data in Person Re-Identification
Sufficient training data normally is required to train deeply learned models. However, due to the expensive manual process for labelling large number of images, the amount of available training data is always limited. To produce more data for training a deep network, Generative Adversarial Network (GAN) can be used to …