Object landmark discovery through unsupervised adaptation

NeurIPS 2019 Enrique SanchezGeorgios Tzimiropoulos

This paper proposes a method to ease the unsupervised learning of object landmark detectors. Similarly to previous methods, our approach is fully unsupervised in a sense that it does not require or make any use of annotated landmarks for the target object category... (read more)

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