A diffusion-based data generation framework with attention distillation transfers sensor-specific features to synthesize training data for cross-sensor SAR applications on aircraft targets.
Denoising diffusion probabilistic models[C]//Proceedings of Advances in Neural Information Processing Systems
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Cross-Sensor SAR Data Generation Using Diffusion Models and Feature Migration
A diffusion-based data generation framework with attention distillation transfers sensor-specific features to synthesize training data for cross-sensor SAR applications on aircraft targets.