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.
Tracking the rhythm of the seasons in the face of global change: Phenological research in the 21st century
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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.