RT-Pose uwipl
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/uwipl/RT-Pose.
- Type
- dataset
- License
- cc-by-nc-sa-4.0
- Downloads
- 322,193
- Likes
- 9
- Access
- public
- Files
- 0
Tags
- 多模态数据集
- 3D生成
- 传感器数据
- 图像数据集
- 评测基准
- 计算机视觉
- 深度学习
- 身体姿态估计
README
--- license: cc-by-nc-sa-4.0 size_categories: - 1K<n<10K task_categories: - keypoint-detection - pose-estimation --- [Paper](https://arxiv.org/pdf/2407.13930) # RT-Pose: A 4D Radar Tensor-based 3D Human Pose Estimation and Localization Benchmark (ECCV 2024) RT-Pose introduces a human pose estimatio…