Self-supervised Robust Object Detectors from Partially Labelled Datasets

23 May 2020Mahdieh AbbasiDenis LaurendeauChristian Gagne

In the object detection task, merging various datasets from similar contexts but with different sets of Objects of Interest (OoI) is an inexpensive way (in terms of labor cost) for crafting a large-scale dataset covering a wide range of objects. Moreover, merging datasets allows us to train one integrated object detector, instead of training several ones, which in turn resulting in the reduction of computational and time costs... (read more)

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