It ’ s in the bag : Stronger supervision for automated face labelling

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End-to-End Learning of Visual Representations From Uncurated Instructional Videos (2019, neutral): “Multiple instance learning methods have been employed in many weakly-supervised video understanding problems including: person recognition in movies using scripts [12, 50, 61], anomaly detection [70], weakly supervised action classification [47, 68] and localization [17, 22, 82], co-reference resolu”
Who's that Actor? Automatic Labelling of Actors in TV Series Starting from IMDB Images (2016, methodology): “Weak Supervision for Actor Labelling The topic of labeling actors in movies and TV-series has been tackled mostly using weak supervision from subtitle and transcript ﬁles [1,8,9,10,11,12,13], building on the seminal work of Everingham et al. [1,8].”
Learning from Video and Text via Large-Scale Discriminative Clustering (2017, methodology): “We compare in Table 2 our approach to other methods [28, 36] reporting results on season 5 of the TV series “Buffy the Vampire Slayer”.”