GiPL: Generative augmented iterative Pseudo-Labeling for Cross-Domain Few-Shot Object Detection 事件

GiPL: Generative augmented iterative Pseudo-Labeling for Cross-Domain Few-Shot Object Detection arXiv:2605.29539v1 Announce Type: new Abstract: Vision-language foundation models have shown promising zero-shot generalization for Cross-Domain Few-Shot Object Detection (CD-FSOD). However, they face two critical challenges in fine-tuning: insufficient support set utilization due to sparse single-instance annotations, and severe overfitting under extremely limited target-domain samples. To address t