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Weakly supervised methods for learning actions and objects
Modern Computer Vision systems learn visual concepts through examples (i.e. images) which have been manually annotated by humans. While this paradigm allowed the field... -
Weakly supervised approaches for quality estimation
International audience -
Weakly Supervised Learning for Structured Output Prediction
We consider the problem of learning the parameters of a structured output prediction model, that is, learning to predict elements of a complex interdependent output...
