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Found 3 papers, 3 papers with code
Scalable Scene Flow from Point Clouds in the Real World
In this work, we introduce a new large-scale dataset for scene flow estimation derived from corresponding tracked 3D objects, which is $\sim$1, 000$\times$ larger than previous real-world datasets in terms of the number of annotated frames.
Optimization Beyond the Convolution: Generalizing Spatial Relations with End-to-End Metric Learning
To operate intelligently in domestic environments, robots require the ability to understand arbitrary spatial relations between objects and to generalize them to objects of varying sizes and shapes.
The Freiburg Groceries Dataset
In this paper, we address this issue and present a dataset consisting of 5, 000 images covering 25 different classes of groceries, with at least 97 images per class.
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