Removing background interference for crowd counting via de-background detail convolutional network
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DOI: 10.1016/j.neucom.2018.12.047
Abstract: Abstract Crowd counting is a challenging vision task which aims to accurately estimate the crowd count from a single image. To this end, we propose a novel architecture called De-background Detail Convolutional Network (DDCN) to… read more here.
Keywords: crowd; background detail; interference; detail convolutional ... See more keywords