Vision Transformers reduce computational operations by an order of magnitude for spatio-temporal vegetation pixel classification while maintaining competitive accuracy and constant parameter count independent of time series length.
Satellite remote sensing of vegetation phenology: Progress, challenges, and opportunities
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Efficient Spatio-Temporal Vegetation Pixel Classification with Vision Transformers
Vision Transformers reduce computational operations by an order of magnitude for spatio-temporal vegetation pixel classification while maintaining competitive accuracy and constant parameter count independent of time series length.