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.
- 유형
- dataset
- 라이선스
- cc-by-nc-sa-4.0
- 다운로드
- 322,193
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- 9
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- public
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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…