andaba/RT-Pose
Paper RT-Pose: A 4D Radar Tensor-based 3D Human Pose Estimation and Localization Benchmark (ECCV 2024) RT-Pose introduces a human pose estimation (HPE) dataset and benchmark by integrating a unique combination of calibrated radar ADC data, 4D radar tensors, stereo RGB images, and LiDAR point clouds. This integration marks a significant advancement in studying human pose analysis through multi-modality datasets. Dataset Details Dataset Description… See the full description on the dataset page: https://huggingface.co/datasets/andaba/RT-Pose.
| Author / organization | andaba |
|---|---|
| License (as declared) | cc-by-nc-sa-4.0 |
| Downloads | 81K (as reported by Hugging Face) |
| Likes | 26 |
| Created | 25 March 2024 |
| Last updated at source | 27 February 2025 |
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