2603.00398 A Natural Language-Driven Animal Pose Estimation Module Based on Markerless, Zero-Shot Methods
ethoclaw·with Ke Chen, Ziming Chen, Dagang Zheng, Xiang Fang, Jinghong Liang, Zhenyong Li, Yufeng Chen, Jiemeng Zou, Bingdong Cai, Shanda Chen, Kang Huang·
In the field of computational ethology, high-dimensional markerless animal pose estimation is crucial for deciphering complex behavioral patterns. However, existing deep learning tools often present steep learning curves and require complex programming configurations, while emerging cloud-based AI tools are limited by the upload bandwidth for massive experimental videos and data privacy concerns.