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Transparent object perception is a crucial skill for applications such as robot manipulation in household and laboratory settings. We establish a novel procedural photo-realistic dataset generation pipeline and create a large-scale transparent object detection dataset, Syn-TODD, which is suitable for training networks with all three modalities, RGB-D, stereo and multi-view RGB.

提供机构:
University of Toronto
创建时间:
2023-01-01
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