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Quantized Edge Inference of a Self-Supervised SAR-Optical Encoder on Commodity x86 Hardware
Self-supervised vision transformers are increasingly used as reusable encoders for Earth observation, but their inference cost on the hardware available in the field is rarely characterized. We deploy a pretrained SAR-optical masked-autoencoder encoder on three commodity x86 nodes, from a low-power
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