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Found 2 papers, 1 papers with code
Mind The Edge: Refining Depth Edges in Sparsely-Supervised Monocular Depth Estimation
To the best of our knowledge this paper is the first attempt to address the depth edges issue for LIDAR-supervised scenes.
Long-term Planning by Short-term Prediction
We argue that dual versions of the MDP framework (that depend on the value function and the $Q$ function) are problematic for autonomous driving applications due to the non Markovian of the natural state space representation, and due to the continuous state and action spaces.
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