Knowledge Transfer from Human to Animal Pose Estimation Using Task Editing in Small-Scale Datasets

Key Points

• Pose estimation models demonstrate potential in transferring knowledge from humans to animals.
• Using task arithmetics with a small learning rate improves effectiveness in pose estimation tasks.
• The approach employs difference vectors for joint estimation based on human and animal tasks.
• Differences in annotation policies do not significantly impact accuracy in the model's performance.

Abstract