Set Prediction Guided by Semantic Concepts for Diverse Video Captioning
Yifan Lu,
Ziqi Zhang,
Chunfeng Yuan
et al.
Abstract:Diverse video captioning aims to generate a set of sentences to describe the given video in various aspects. Mainstream methods are trained with independent pairs of a video and a caption from its ground-truth set without exploiting the intra-set relationship, resulting in low diversity of generated captions. Different from them, we formulate diverse captioning into a semantic-concept-guided set prediction (SCG-SP) problem by fitting the predicted caption set to the ground-truth set, where the set-level relati… Show more
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