EBC
Enhanced Blockwise Classification
Traditional methods are based on block-wise regression. This framework, Enhanced Blockwise Classification (**EBC**), however, is based on the idea that aims to classify the count value within each block into several pre-defined bins. The enhancement comes from 3 aspects: discretization policy, label correction and loss function. 

Notice that the original block-wise classification concept was introduced by Liu *et al.* in *Counting Objects by Blockwise Classification*.
CLIP-EBC: CLIP Can Count Accurately through Enhanced Blockwise Classification
https://paperswithcode.com/paper/clip-ebc-clip-can-count-accurately-through
CLIP-EBC: CLIP Can Count Accurately through Enhanced Blockwise Classification