Counting Methods

Enhanced Blockwise Classification

Introduced by Ma et al. in CLIP-EBC: CLIP Can Count Accurately through 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.

Source: CLIP-EBC: CLIP Can Count Accurately through Enhanced Blockwise Classification

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