Yaze Zhao
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126
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2026
GiPL: Generative augmented iterative Pseudo-Labeling for Cross-Domain Few-Shot Object Detection
GiPL proposes a novel two-branch framework combining iterative pseudo-label self-training and generative data augmentation to significantly improve Cross-Domain Few-Shot Object Detection by better utilizing limited support set data and reducing overfitting.
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Papers
cs.CVcs.AIRecentMay 28, 2026
GiPL: Generative augmented iterative Pseudo-Labeling for Cross-Domain Few-Shot Object Detection
Jiacong Liu, Shu Luo, Yikai Qin, Yaze Zhao +2 more
GiPL proposes a novel two-branch framework combining iterative pseudo-label self-training and generative data augmentation to significantly improve Cross-Domain Few-Shot Object Detection by better uti…
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