five

ModelNet10

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DataCite Commons2026-01-07 更新2026-05-05 收录
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https://service.tib.eu/ldmservice/dataset/61efa1d4-d5d0-4f60-a0f0-834893d95b19
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资源简介:
3D Convolutional Neural Networks are sensitive to transformations applied to their input. This is a problem because a voxelized version of a 3D object, and its rotated clone, will look unrelated to each other after passing through to the last layer of a network. Instead, an idealized model would preserve a meaningful representation of the voxelized object, while explaining the pose-difference between the two inputs.
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TIB
创建时间:
2024-12-02
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