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 ClassificationPaper | Code | Results | Date | Stars |
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🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |