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Found 4 papers, 4 papers with code
On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors
Predicting the states of dynamic traffic actors into the future is important for autonomous systems to operate safelyand efficiently.
Recovering the Imperfect: Cell Segmentation in the Presence of Dynamically Localized Proteins
In this paper, we provide a solution to segmentation of imperfect data through time based on temporal propagation and uncertainty estimation.
Understanding and Robustifying Differentiable Architecture Search
Differentiable Architecture Search (DARTS) has attracted a lot of attention due to its simplicity and small search costs achieved by a continuous relaxation and an approximation of the resulting bi-level optimization problem.
AutoDispNet: Improving Disparity Estimation With AutoML
In this work, we show how to use and extend existing AutoML techniques to efficiently optimize large-scale U-Net-like encoder-decoder architectures.
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