A prompt-controlled diffusion framework generates class-ratio-targeted synthetic layouts and domain-consistent images that, when mixed with real data, improve segmentation accuracy on long-tailed remote-sensing datasets especially under domain shift.
Distribution shift inversion for out-of-distribution prediction,
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Mitigating Long-Tail Bias via Prompt-Controlled Diffusion Augmentation
A prompt-controlled diffusion framework generates class-ratio-targeted synthetic layouts and domain-consistent images that, when mixed with real data, improve segmentation accuracy on long-tailed remote-sensing datasets especially under domain shift.