Papers with attentive interactor

1 papers
Weakly-Supervised Spatio-Temporally Grounding Natural Sentence in Video (P19-1)

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Challenge: Existing techniques for weakly-supervised spatio-temporally grounding natural sentence in video are lacking .
Approach: They propose a weakly-supervised task for spatially grounding sentences in video . they extract instances from video and encode them using attentive interactor . results demonstrate superiority of their proposed task over baseline approaches .
Outcome: The proposed model outperforms baseline approaches in a weakly-supervised task . it can characterize reliable instance-sentence pairs and penalize unreliable ones .

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