Joint Discriminative and Generative Learning for Person Re-Identification
Joint Discriminative and Generative Learning for Person Re-Identification
Person re-identification (re-id) remains challenging due to significant intra-class variations across different cameras. Recently, there has been a growing interest in using generative models to augment training data and enhance the invariance to input changes. The generative pipelines in existing methods, however, stay relatively separate from the discriminative re-id learning …