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Found 3 papers, 1 papers with code
Integrated Decision Gradients: Compute Your Attributions Where the Model Makes Its Decision
Attribution algorithms are frequently employed to explain the decisions of neural network models.
Unsupervised Monocular Depth Learning with Integrated Intrinsics and Spatio-Temporal Constraints
Monocular depth inference has gained tremendous attention from researchers in recent years and remains as a promising replacement for expensive time-of-flight sensors, but issues with scale acquisition and implementation overhead still plague these systems.
Risk-Averse MPC via Visual-Inertial Input and Recurrent Networks for Online Collision Avoidance
In this paper, we propose an online path planning architecture that extends the model predictive control (MPC) formulation to consider future location uncertainties for safer navigation through cluttered environments.
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