Introduces the CHC dataset of 3 m continuous canopy height differences with uncertainties and the uncertainty-aware change regression task for fine-tuning GFMs on PlanetScope time series.
arXiv:2506.17944 (2025)
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2representative citing papers
Introduces MTRS task, MTRefSeg-21K benchmark of 21K image-text-mask triplets, and MTRefSeg-R1 LVLM baseline that outperforms standard models via two-stage change-aware training.
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Uncertainty-aware tree height change regression
Introduces the CHC dataset of 3 m continuous canopy height differences with uncertainties and the uncertainty-aware change regression task for fine-tuning GFMs on PlanetScope time series.
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An Open-Source Benchmark and Baseline for Multi-temporal Referring Segmentation
Introduces MTRS task, MTRefSeg-21K benchmark of 21K image-text-mask triplets, and MTRefSeg-R1 LVLM baseline that outperforms standard models via two-stage change-aware training.