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Found 4 papers, 3 papers with code
Y-Autoencoders: disentangling latent representations via sequential-encoding
Additionally, the projection in the explicit manifold is monitored by a predictor, that is embedded in the encoder and trained end-to-end with no adversarial losses.
Progressive Batching for Efficient Non-linear Least Squares
Non-linear least squares solvers are used across a broad range of offline and real-time model fitting problems.
Faster and better: a machine learning approach to corner detection
The repeatability and efficiency of a corner detector determines how likely it is to be useful in a real-world application.
Large Scale Photometric Bundle Adjustment
Issues such as the lack of brightness constancy, and the sheer volume of data, make this a more challenging task.
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