SITN improves cross-domain few-shot detection and segmentation by using weakened-noise diffusion and background inpainting to synthesize helpful training images, outperforming prior methods on all reported benchmarks.
IEEE Transactions on Knowledge and Data Engineering (2024)
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Free-Lunch Augmentation by Revisiting Diffusion-Based Data Generation for Cross-Domain Few-Shot Object Detection
SITN improves cross-domain few-shot detection and segmentation by using weakened-noise diffusion and background inpainting to synthesize helpful training images, outperforming prior methods on all reported benchmarks.