English(EN) ExDet: Open-Domain Open-Vocabulary Detection with Cross-modal Extrapolation and Rectification

ExDet框架提升开放域目标检测泛化能力

作者 PulseAugur 编辑部 · [2 个来源] · 2026-06-08 11:34

研究人员推出ExDet，一个旨在提高开放域开放词汇检测（ODOVD）能力的新型框架。该轻量级系统无需从头开始训练，即可增强现有检测器在新类别和未知域上的泛化能力。ExDet利用文本引导的外推来推断视觉原型，并使用与检测器兼容的校正模块来调整表示，在多个基准数据集上取得了最先进的成果。 AI

影响增强目标检测模型的泛化能力，有望在包含新颖物体和多样化环境的实际应用中提高性能。

排序理由这是一篇详细介绍计算机视觉新技术的学术论文。

AI 生成摘要 · Google Gemini · 来自 2 个来源。我们如何撰写摘要 →

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arXiv cs.CV TIER_1 English(EN) · Yupeng Zhang, Yuzhong Feng, Ruize Han, Zhiwei Chen, Wei Feng, Liang Wan · 2026-06-09 04:00

ExDet：通过跨模态外推和校正实现开放域开放词汇检测

arXiv:2606.09360v1 Announce Type: new Abstract: Open-domain open-vocabulary detection (ODOVD) requires detectors to generalize to both novel categories and unseen domains, making it more challenging than open-vocabulary detection. Existing methods typically train open-vocabulary …
arXiv cs.CV TIER_1 English(EN) · Liang Wan · 2026-06-08 11:34

ExDet：通过跨模态外推和校正实现开放域开放词汇检测

Open-domain open-vocabulary detection (ODOVD) requires detectors to generalize to both novel categories and unseen domains, making it more challenging than open-vocabulary detection. Existing methods typically train open-vocabulary detectors together with domain generalization mo…