Optimising CSRNet with parameter-free attention mechanisms for crowd counting in public transport

In three linesCSRNet optimized with parameter-free attention mechanisms for crowd counting in public transport. Evaluation of PFCA, SA, and SimAM modules on ShanghaiTech dataset. Novel PFCASA combination (PFCA+SA) outperforms parameterized approaches while reducing model size, applicable to edge-deployed systems.

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