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Found 5 papers, 0 papers with code
Ensemble Manifold Segmentation for Model Distillation and Semi-supervised Learning
We mitigate this by introducing ensemble manifold segmentation (EMS).
Consensus Maximization With Linear Matrix Inequality Constraints
While randomized methods like RANSAC are fast, they do not guarantee global optimality and fail to manage large amounts of outliers.
Fast Optical Flow using Dense Inverse Search
Most recent works in optical flow extraction focus on the accuracy and neglect the time complexity.
Metric Imitation by Manifold Transfer for Efficient Vision Applications
In particular, MI consists of: 1) quantifying the properties of source metrics as manifold geometry, 2) transferring the manifold from source domain to target domain, and 3) learning a mapping of TFs so that the manifold is approximated as well as possible in the mapped feature domain.
Joint Vanishing Point Extraction and Tracking
Although the method is designed for unknown camera poses, it is also helpful in scenarios with known poses, since a multi-frame approach in VP detection helps to regularize in frames with weak VP line support.
