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Found 4 papers, 2 papers with code
TransNet: Transparent Object Manipulation Through Category-Level Pose Estimation
TransNet is evaluated in terms of pose estimation accuracy on a large-scale transparent object dataset and compared to a state-of-the-art category-level pose estimation approach.
TransNet: Category-Level Transparent Object Pose Estimation
TransNet is evaluated in terms of pose estimation accuracy on a recent, large-scale transparent object dataset and compared to a state-of-the-art category-level pose estimation approach.
ClearPose: Large-scale Transparent Object Dataset and Benchmark
Transparent objects are ubiquitous in household settings and pose distinct challenges for visual sensing and perception systems.
ProgressLabeller: Visual Data Stream Annotation for Training Object-Centric 3D Perception
We demonstrate the effectiveness of ProgressLabeller by rapidly create a dataset of over 1M samples with which we fine-tune a state-of-the-art pose estimation network in order to markedly improve the downstream robotic grasp success rates.
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