CoReS: Compatible Representations via Stationarity.

Compatible features enable the direct comparison of old and new learned features allowing to use them interchangeably over time. In visual search systems, this eliminates the need to extract new features from the gallery-set when the representation model is upgraded with novel data. This has a big value in real applications as re-indexing the gallery-set can be computationally expensive when the gallery-set is large, or even infeasible due to privacy or other concerns of the application.

Regular Polytope Networks.

Neural networks are widely used as a model for classification in a large variety of tasks. Typically, a learnable transformation (i.e.