Implicit Label Augmentation on Partially Annotated Clips via Temporally-Adaptive Features Learning

24 May 2019Yongxi LuZiyao TangTara Javidi

Partially annotated clips contain rich temporal contexts that can complement the sparse key frame annotations in providing supervision for model training. We present a novel paradigm called Temporally-Adaptive Features (TAF) learning that can utilize such data to learn better single frame models... (read more)

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