EBC

2000년 도입 · 논문 4편에서 사용

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*.

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

소개 논문: CLIP-EBC: CLIP Can Count Accurately through Enhanced Blockwise Classification