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Found 5 papers, 1 papers with code
Fast, Accurate and Object Boundary-Aware Surface Normal Estimation from Depth Maps
The proposed method is compared to well-known surface normal estimation algorithms.
Deep SVBRDF Estimation on Real Materials
Recent work has demonstrated that deep learning approaches can successfully be used to recover accurate estimates of the spatially-varying BRDF (SVBRDF) of a surface from as little as a single image.
Self-supervised Robust Object Detectors from Partially Labelled Datasets
With the goal of training \emph{one integrated robust object detector with high generalization performance}, we propose a training framework to overcome missing-label challenge of the merged datasets.
A Framework for Evaluating 6-DOF Object Trackers
We present a challenging and realistic novel dataset for evaluating 6-DOF object tracking algorithms.
Sustainable Cooperative Coevolution with a Multi-Armed Bandit
At each iteration, the dynamic multi-armed bandit makes a decision on which species to evolve for a generation, using the history of progress made by the different species to guide the decisions.
