For videos, annotation is also even more challenging than images; this is due to the ambiguities of choosing the right vocabulary of action and annotating action intervals. This significantly limits the scale at which fully supervised video data can be obtained and, hence, slows down the quest to improve visual representation.Recent work in this field has produced a prominent alternative to obtain this fully supervised approach which is nothing but by leveraging narrated videos.

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