Abstract
Accurate counting and localization of plants and their organs support phenotyping and yield estimation, yet target appearance, scale, and density vary widely across species and imaging conditions. Exemplar boxes specify the target without category-specific retraining, and point predictions identify the individual instances contributing to the count. We introduce AgriCountDINO, a parameter-efficient exemplar-guided framework for joint counting and localization. It conditions frozen multiscale DINOv3 features on exemplar appearance and size, then progressively decodes them into target points. Missed-object recovery extends supervision to targets overlooked by initial matching, and exemplar-adaptive point NMS filters duplicate predictions according to exemplar scale. With 8.4M trainable parameters, approximately one-tenth of TasselNetV4's, AgriCountDINO achieves a three-shot MAE of 11.92 on the TPC-268 benchmark, reducing counting error by 9.7\% while providing individual target locations. Trained only on TPC-268, it achieves a zero-shot MAE of 14.25 on unseen generic object categories in FSC-147, improving upon the best compared zero-shot method by 6.0\% without target-domain training or fine-tuning.
Keywords
Subject
Publication details
- Journal
- Not available
- Open access
- Green open access
Cite this article
APA 7
Guo, S., Li, X., Arsova, B., Scharr, H., & Salvi, S. (2026). AgriCountDINO: Parameter-Efficient Exemplar-Guided Counting and Localization in Agriculture. https://omanscience.com/en/articles/agricountdino-parameter-efficient-exemplar-guided-counting-and-localization-in-agriculture
MLA 9
Guo, Shengjie, et al. "AgriCountDINO: Parameter-Efficient Exemplar-Guided Counting and Localization in Agriculture." https://omanscience.com/en/articles/agricountdino-parameter-efficient-exemplar-guided-counting-and-localization-in-agriculture.
Chicago (author–date)
Guo, Shengjie, Xin Li, Borjana Arsova, Hanno Scharr, and Silvio Salvi. 2026. "AgriCountDINO: Parameter-Efficient Exemplar-Guided Counting and Localization in Agriculture." https://omanscience.com/en/articles/agricountdino-parameter-efficient-exemplar-guided-counting-and-localization-in-agriculture.
Harvard
Guo, S., Li, X., Arsova, B., Scharr, H. and Salvi, S. (2026) 'AgriCountDINO: Parameter-Efficient Exemplar-Guided Counting and Localization in Agriculture', Available at: https://omanscience.com/en/articles/agricountdino-parameter-efficient-exemplar-guided-counting-and-localization-in-agriculture.
Vancouver
Guo S, Li X, Arsova B, Scharr H, Salvi S. AgriCountDINO: Parameter-Efficient Exemplar-Guided Counting and Localization in Agriculture. https://omanscience.com/en/articles/agricountdino-parameter-efficient-exemplar-guided-counting-and-localization-in-agriculture
IEEE
S. Guo, X. Li, B. Arsova, H. Scharr, and S. Salvi, "AgriCountDINO: Parameter-Efficient Exemplar-Guided Counting and Localization in Agriculture," https://omanscience.com/en/articles/agricountdino-parameter-efficient-exemplar-guided-counting-and-localization-in-agriculture.