Prithvi-EO-2.0 is based on the ViT architecture, pretrained using a masked autoencoder (MAE) approach, with two major modifications as shown in the figure below. Second, we considered geolocation ...
Objective: This study aims to analyze the multidimensional influencing factors of Chinese older adults' use of IH services based on the integrated framework of the Technology Acceptance Model (TAM) ...
Abstract: We introduce Adversarial Sparse Teacher (AST), a robust defense method against distillation-based model stealing attacks. Our approach trains a teacher model using adversarial examples to ...
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