In this paper, we introduce a novel task, referred to as weakly-supervised spatio-temporally grounding sentence in video (WSSTG).
given a natural sentence and a video, we aim to localize a spatio-temporal tube (i.e., a sequence of bounding boxes), referred to as an instance, in the video which semantically matches the given sentence (see Fig.