Improving Gait Recognition Accuracy in Highly Compressed Surveillance Videos through Task-Adapted Artifact Correction

Incorporating a task-adapted artifact correction model can significantly improve the performance of pose estimation and downstream gait recognition in highly compressed surveillance videos, without compromising the model's generalization capabilities on high-quality data.