在点云细分中用于域调整的组成语义混合

概括

本研究介绍了构成性语义混合,这是一种用于3D点云语义细分的新型无监督域适应技术. 它通过混合数据样本来增强跨不同传感器和环境的模型概括性.

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Deconvolution01:20

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Structural Classification of Joints01:20

Structural Classification of Joints

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Downsampling01:20

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When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
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