MAMP self-supervised pre-training on 90k iMiGUE 46-joint pose skeletons, followed by full fine-tuning (train+val) and cRT classifier re-training on the iMiGUE-32 gesture classification task.
This model achieves 70.188% Top-1 on the official test set, and contributes to our final 74.66% ensemble (1st on Kaggle).
📦 Installation
📂 Data Preparation
🏋️♂️ Training & Testing
Pre-trained… See the full description on the dataset page:
https://huggingface.co/datasets/anyi777/MiGA26_Track1_Skeleton_pose90k_FT.
