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# RT-Pose: A 4D Radar Tensor-based 3D Human Pose Estimation and Localization Benchmark (ECCV 2024)
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RT-Pose introduces a human pose estimation (HPE) dataset and benchmark by integrating a unique combination of calibrated 4D radar tensors, RGB images, and LiDAR point clouds.
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This integration marks a significant advancement in studying human pose analysis through multi-modality datasets.
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
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# RT-Pose: A 4D Radar Tensor-based 3D Human Pose Estimation and Localization Benchmark (ECCV 2024)
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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.
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This integration marks a significant advancement in studying human pose analysis through multi-modality datasets.
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
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