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Multi‐level features extraction network with gating mechanism for crowd counting
2021
IET Image Processing
Crowd counting is still a practical and challenging problem owing to scale variations and information loss. Most existing methods based on the straightforward fusion of different features from a deep neural network seem to eliminate this limitation. However, these features are difficult to be fused since they often differ significantly in modality and dimensionality. Unlike previous works, a multi-level features extraction network with gating mechanism for crowd counting is proposed.
doi:10.1049/ipr2.12304
fatcat:gxx5eesitrasfeuympkqrrmwfq