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Found 3 papers, 1 papers with code
Point Cloud Models Improve Visual Robustness in Robotic Learners
In this work, we examine robustness to a suite of these types of visual changes for RGB-D and point cloud based visual control policies.
dpVAEs: Fixing Sample Generation for Regularized VAEs
This decoupling enables the use of VAE regularizers on the representation space without impacting the distribution used for sample generation, and thereby reaping the representation learning benefits of the regularizations without sacrificing the sample generation.
PageNet: Page Boundary Extraction in Historical Handwritten Documents
When digitizing a document into an image, it is common to include a surrounding border region to visually indicate that the entire document is present in the image.
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