TASK	DATASET	MODEL	METRIC NAME	METRIC VALUE	GLOBAL RANK	REMOVE
Video Story QA	MovieQA	PAMN	Accuracy	42.53	# 1

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Progressive Attention Memory Network for Movie Story Question Answering

CVPR 2019 • Junyeong Kim • Minuk Ma • Kyung-Su Kim • Sungjin Kim • Chang D. Yoo

This paper proposes the progressive attention memory network (PAMN) for movie story question answering (QA). Movie story QA is challenging compared to VQA in two aspects: (1) pinpointing the temporal parts relevant to answer the question is difficult as the movies are typically longer than an hour, (2) it has both video and subtitle where different questions require different modality to infer the answer... (read more)

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