Qidong Zhou

Adversarial Learning-based Data Augmentation for Rotation-robust Human Tracking

This paper analyzes the diversity deficiency of positive training samples used to fine-tune CNN-based tracking networks, especially when confronted with large pose changes and out-of-plane rotation challenges. Therefore, we present a novel adversarial learning-based hard positives generation method…