SelvaBox is the largest open high-resolution dataset for tropical tree crown detection, with benchmarks showing that higher resolution improves accuracy and models trained on it generalize competitively to other unseen tropical datasets.
Assessing sam for tree crown instance segmentation from drone imagery,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.CV 2representative citing papers
FG-TreeSeg applies Cellpose-SAM flow fields to model tree crowns as star-convex objects and separate overlapping instances without training or instance annotations.
citing papers explorer
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SelvaBox: A high-resolution dataset for tropical tree crown detection
SelvaBox is the largest open high-resolution dataset for tropical tree crown detection, with benchmarks showing that higher resolution improves accuracy and models trained on it generalize competitively to other unseen tropical datasets.
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FG-TreeSeg: Flow-Guided Tree Crown Segmentation without Instance Annotations
FG-TreeSeg applies Cellpose-SAM flow fields to model tree crowns as star-convex objects and separate overlapping instances without training or instance annotations.