3 papers
cs.CV2026
Plant Taxonomy Meets Plant Counting: A Fine-Grained, Taxonomic Dataset for Counting Hundreds of Plant Species
Jinyu Xu, Tianqi Hu, Xiaonan Hu +4
Visually cataloging and quantifying the natural world requires pushing the boundaries of both detailed visual classification and counting at scale. Despite significant progress, pa…
cs.CV2025
CoDA: From Text-to-Image Diffusion Models to Training-Free Dataset Distillation
Letian Zhou, Songhua Liu, Xinchao Wang
Prevailing Dataset Distillation (DD) methods leveraging generative models confront two fundamental limitations. First, despite pioneering the use of diffusion models in DD and deli…
cs.CV2025
TasselNetV4: A vision foundation model for cross-scene, cross-scale, and cross-species plant counting
Xiaonan Hu, Xuebing Li, Jinyu Xu +8
Accurate plant counting provides valuable information for agriculture such as crop yield prediction, plant density assessment, and phenotype quantification. Vision-based approaches…