2 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.CV2024
PP-SSL : Priority-Perception Self-Supervised Learning for Fine-Grained Recognition
ShuaiHeng Li, Qing Cai, Fan Zhang +5
Self-supervised learning is emerging in fine-grained visual recognition with promising results. However, existing self-supervised learning methods are often susceptible to irreleva…