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cs.CV2026
OOVDet: Low-Density Prior Learning for Zero-Shot Out-of-Vocabulary Object Detection
Binyi Su, Chenghao Huang, Haiyong Chen
Zero-shot out-of-vocabulary detection (ZS-OOVD) aims to accurately recognize objects of in-vocabulary (IV) categories provided at zero-shot inference, while simultaneously rejectin…
cs.CV2024
BlenDA: Domain Adaptive Object Detection through diffusion-based blending
Tzuhsuan Huang, Chen-Che Huang, Chung-Hao Ku +1
Unsupervised domain adaptation (UDA) aims to transfer a model learned using labeled data from the source domain to unlabeled data in the target domain. To address the large domain…