AI RESEARCH
Unbiased Object Detection Beyond Frequency with Visually Prompted Image Synthesis
arXiv CS.CV
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ArXi:2510.18229v3 Announce Type: replace This paper presents a generation-based debiasing framework for object detection. Prior debiasing methods are often limited by the representation diversity of samples, while naive generative augmentation often preserves the biases it aims to solve.