most citedJoint CNN and Transformer Network via weakly supervised Learning for efficient crowd counting

10 citations · 14 across the 3 of their papers we have counts for

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cs.CV2022★ 10 cited

Joint CNN and Transformer Network via weakly supervised Learning for efficient crowd counting

Fusen Wang, Kai Liu, Fei Long +3

Currently, for crowd counting, the fully supervised methods via density map estimation are the mainstream research directions. However, such methods need location-level annotation…

cs.CV2021

Hybrid attention network based on progressive embedding scale-context for crowd counting

Fusen Wang, Jun Sang, Zhongyuan Wu +2

The existing crowd counting methods usually adopted attention mechanism to tackle background noise, or applied multi-level features or multi-scales context fusion to tackle scale v…