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Crowd counting in public places has a wide spectrum of applications especially in crowd control, public space design, and pedestrian behaviour profiling. Existing counting by regression methods, which aim to learn a direct mapping between low-level features and people count without segregation or tracking of individuals, can be categorised into either(More)
Object detectors [5] locate objects of interest in images and have many applications including image tagging, consumer photography, and surveillance. Most existing object detectors take a fully supervised learning (FSL) approach, where all the training images are manually annotated with the object location. However, manual annotation of hundreds of object(More)
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