LDGuid pretrains a latent difference embedding via adversarial autoencoding and information bottleneck to guide segmentation models and reports improved performance on remote sensing change detection benchmarks.
Build- ing damage assessment for rapid disaster response with a deep object-based semantic change detection framework: From natural disasters to man-made disasters,
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LDGuid: A Framework for Robust Change Detection via Latent Difference Guidance
LDGuid pretrains a latent difference embedding via adversarial autoencoding and information bottleneck to guide segmentation models and reports improved performance on remote sensing change detection benchmarks.