DODA: Diffusion for Object-detection Domain Adaptation in Agriculture

arXiv:2403.18334v1 Announce Type: new
Abstract: The diverse and high-quality content generated by recent generative models demonstrates the great potential of using synthetic data to train downstream models. However, in vision, especially in objection detection, related areas are not fully explored, the synthetic images are merely used to balance the long tails of existing datasets, and the accuracy of the generated labels is low, the full potential of generative models has not been exploited. In this paper, we propose DODA, a …

abstract agriculture arxiv balance cs.cv data detection diffusion diverse domain domain adaptation generated generative generative models however images object object-detection quality synthetic synthetic data train type vision