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Found 3 papers, 2 papers with code
Graph2Vid: Flow graph to Video Grounding for Weakly-supervised Multi-Step Localization
In this setup, we seek the optimal step ordering consistent with the procedure flow graph and a given video.
$f$-Cal: Calibrated aleatoric uncertainty estimation from neural networks for robot perception
While modern deep neural networks are performant perception modules, performance (accuracy) alone is insufficient, particularly for safety-critical robotic applications such as self-driving vehicles.
Deep Active Localization
Traditional approaches to this use an information-theoretic criterion for action selection and hand-crafted perceptual models.
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