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Found 3 papers, 1 papers with code
A Recipe for Unbounded Data Augmentation in Visual Reinforcement Learning
We benchmark its effectiveness on DMC-GB2 -- our proposed extension of the popular DMControl Generalization Benchmark -- as well as tasks from Meta-World and the Distracting Control Suite, and find that our method, SADA, greatly improves training stability and generalization of RL agents across a diverse set of augmentations.
X-Align++: cross-modal cross-view alignment for Bird's-eye-view segmentation
Bird's-eye-view (BEV) grid is a typical representation of the perception of road components, e. g., drivable area, in autonomous driving.
X-Align: Cross-Modal Cross-View Alignment for Bird's-Eye-View Segmentation
Bird's-eye-view (BEV) grid is a common representation for the perception of road components, e. g., drivable area, in autonomous driving.
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