Data-driven exemplar model selection

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iCaRL: Incremental Classifier and Representation Learning (2016, critical): “In contrast, other potential methods for exemplar selection, such as [7, 26], were designed with other objectives and are not guaranteed to provide a good approximation quality for any number of prototypes.”
Watch and learn: Semi-supervised learning of object detectors from videos (2015, methodology): “We then use WHO (or ELDA) [23] clustering [38] on these boxes to select training examples for the new detectors.”
Model recommendation: Generating object detectors from few samples (2015, background): “Over the past few decades, there has been much progress in designing effective object detectors, especially when enough data are available [14, 33, 36, 56, 37, 15, 48].”