Publication · 2026
A Survey on Class-Agnostic Counting: Advancements from Reference-Based to Open-World Text-Guided Approaches
Computer Vision and Image Understanding
Volume 267 · Article 104703
Research summary
Organizes 29 counting approaches into reference-based, reference-less, and open-world text-guided methods, comparing performance and generalization on FSC-147 and CARPK.
DOI: 10.1016/j.cviu.2026.104703
Citation
Luca Ciampi, Ali Azmoudeh, Elif Ecem Akbaba, Erdi Sarıtaş, Ziya Ata Yazıcı, Hazım Kemal Ekenel, Giuseppe Amato, Fabrizio Falchi. 2026. A Survey on Class-Agnostic Counting: Advancements from Reference-Based to Open-World Text-Guided Approaches. Computer Vision and Image Understanding.
View BibTeX
@article{ciampi2026counting,
title = {{A Survey on Class-Agnostic Counting: Advancements from Reference-Based to Open-World Text-Guided Approaches}},
author = {Luca Ciampi and Ali Azmoudeh and Elif Ecem Akbaba and Erdi Sarıtaş and Ziya Ata Yazıcı and Hazım Kemal Ekenel and Giuseppe Amato and Fabrizio Falchi},
year = {2026},
journal = {Computer Vision and Image Understanding},
doi = {10.1016/j.cviu.2026.104703},
url = {https://arxiv.org/abs/2501.19184},
pages = {104703},
volume = {267},
publisher = {Elsevier}
}