A Twins-SVT vision transformer backbone with multiscale CNN decoder and Category Focus Module auxiliary task reduces MAE by 33-64% on VisDrone and iSAID multi-class counting benchmarks versus prior density estimators.
Nwpu-moc: A benchmark for fine-grained multicategory object counting in aerial images.IEEE Transactions on Geoscience and Re- mote Sensing, 62:1–14
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Getting the Numbers Right$\unicode{x2014}$Modelling Multi-Class Object Counting in Dense and Varied Scenes
A Twins-SVT vision transformer backbone with multiscale CNN decoder and Category Focus Module auxiliary task reduces MAE by 33-64% on VisDrone and iSAID multi-class counting benchmarks versus prior density estimators.