ModelNet-O
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资源简介：
ModelNet-O是一个大规模的合成数据集，包含123,041个样本，模拟了由单眼相机扫描引起的自遮挡现实世界点云。该数据集比现有数据集大10倍，提供更多挑战性案例以评估现有方法的鲁棒性。
ModelNet-O is a large-scale synthetic dataset comprising 123,041 samples that simulate real-world point clouds with self-occlusion induced by monocular camera scanning. This dataset is 10 times larger than existing benchmark datasets, providing more challenging cases to evaluate the robustness of current methods.
创建时间：
2024-01-16
