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long-tail-learning

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Buddhi19 / SyntheticGen

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[IGARSS 2026] Generates synthetic image–mask pairs by denoising joint latents conditioned on a real input image (VAE) and a class prompt (CLIP), enabling targeted oversampling of minority classes (e.g., barren) for LoveDA semantic segmentation.

generative-model class-imbalance semantic-segmentation data-augmentation earth-observation domain-adaptation diffusion-model synthetic-dataset-generation conditional-generation distribution-control latent-diffusion controlnet long-tail-learning ratio-conditioned-generation dataset-balancing loveda
  • Updated Apr 25, 2026
  • Python

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