publication . Preprint . Conference object . 2017

Structured Attentions for Visual Question Answering

Chen Zhu; Yanpeng Zhao; Shuaiyi Huang; Kewei Tu; Yi Ma;
Open Access English
  • Published: 07 Aug 2017
Visual attention, which assigns weights to image regions according to their relevance to a question, is considered as an indispensable part by most Visual Question Answering models. Although the questions may involve complex relations among multiple regions, few attention models can effectively encode such cross-region relations. In this paper, we demonstrate the importance of encoding such relations by showing the limited effective receptive field of ResNet on two datasets, and propose to model the visual attention as a multivariate distribution over a grid-structured Conditional Random Field on image regions. We demonstrate how to convert the iterative inferen...
free text keywords: Computer Science - Computer Vision and Pattern Recognition, Pattern recognition, Question answering, Visualization, Machine learning, computer.software_genre, computer, Artificial neural network, Computer science, Belief propagation, Inference engine, Artificial intelligence, business.industry, business, Encoding (memory), Source code, media_common.quotation_subject, media_common, Inference
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