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arXiv AI By Jae Joong Lee, Bedrich Benes

Three LiDARs, Twenty-Five Datasets: Cross-Source Generalization in Tree-Species Recognition

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FOR-species20K is the largest public LiDAR benchmark for tree‑species classification, combining 25 datasets across 33 species. A multi‑resolution, multi‑view ConvNeXtV2 model raised the hidden‑test accuracy from 79.5 % to 85.0 %, placing first at submission. However, cross‑source experiments show that this score does not reflect true source‑disjoint generalization, with performance dropping dramatically when species are held out by source.

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