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We propose a novel indoor head detection network using dual-stream information and multi-attention that can be used for indoor crowd counting. To solve the problem of object scale diversity in indoor human head detection, especially the problem of smallscale human head, we propose a dual-stream information flow structure to enrich the positioning and category semantic information of small-scale objects. We propose a kind of structure of the channel-attention mechanism which is used to enhancedoi:10.1049/cje.2020.09.011 fatcat:tzwxqbdqcbbrhhbmi53squngmy