Anti-drift pose tracker (ADPT): A transformer-based network for robust animal pose estimation cross-species
Guoling Tang,
Yaning Han,
Quanying Liu
et al.
Abstract:Deep learning-based methods for animal pose estimation have recently made substantial progress in improving the accuracy and efficiency of quantitative descriptions of animal behavior. However, these methods commonly suffer from tracking drifts, i.e., sudden jumps in the estimated position of a body point due to noise, thus reducing the reliability of behavioral study results. Here, we present a transformer-based animal pose estimation tool, called Anti-Drift Pose Tracker (ADPT), for eliminating tracking drift… Show more
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