arXiv Computer Vision
Sep 7

Counting Beyond Instances: A Benchmark for Group-Individual Object Counting

The paper introduces Group-Individual Object Counting (GIC), a new task that requires models to count both individual objects and higher‑level semantic groups within the same image. To support this, the authors present BunchCount, a benchmark of 1,330 images with 89,254 individual and 11,065 group annotations that include explicit containment relations. Experiments show that existing counting models excel at individual counting but struggle with group counting, leading the authors to propose a relational counting framework that leverages group‑individual containment to improve group‑level accuracy while preserving individual performance.

By Rui Wang, Junyi Huang, Jiahui Li, Qiao Yu, Yixue Hao, Long Hu, Baoru Huang