A pipeline uses Mask2Former flood masks and DEMs to compute a single water surface elevation then derives local depths under hydrostatic equilibrium.
Segformer: Simple and efficient design for semantic segmentation with transformers
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Transformer-based models deliver strong landslide segmentation on satellite images, and parameter-efficient fine-tuning matches full fine-tuning accuracy while cutting trainable parameters by up to 95%.
citing papers explorer
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Geometric Flood Depth Estimation: Fusing Transformer-Based Segmentation with Digital Elevation Models
A pipeline uses Mask2Former flood masks and DEMs to compute a single water surface elevation then derives local depths under hydrostatic equilibrium.
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A Benchmark Study of Segmentation Models and Adaptation Strategies for Landslide Detection from Satellite Imagery
Transformer-based models deliver strong landslide segmentation on satellite images, and parameter-efficient fine-tuning matches full fine-tuning accuracy while cutting trainable parameters by up to 95%.