Description
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.
Papers Using This Method
EBC-ZIP: Improving Blockwise Crowd Counting with Zero-Inflated Poisson Regression2025-06-24A neuromorphic camera for tracking passive and active matter with lower data throughput2025-01-13EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision2024-12-03CLIP-EBC: CLIP Can Count Accurately through Enhanced Blockwise Classification2024-03-14