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English(EN) COVD: Continual Open-Vocabulary Object Detection with Novel Concept Injection

新的基准和框架推动开放词汇目标检测发展

作者 PulseAugur 编辑部 · [5 个来源] ·

研究人员推出了新的开放词汇目标检测框架，该领域旨在使AI模型能够识别预定义类别之外的对象。一种方法LV-OSD利用文本和图像提示来指定所需的对象类别，采用具有动态加权模块的双分支检测框架来弥合语义鸿沟。另一项开发COVD解决了在不完全重新训练的情况下持续用新概念更新目标检测模型的挑战，提出了一种有效的注入框架来保留先验知识。此外，还建立了一个名为ODOV的基准，用于在同时发生域和类别偏移的情况下评估模型，并引入了一个利用多模态对齐能力的基线。 AI

影响 开放词汇目标检测的这些进展可能带来更具适应性和鲁棒性的AI系统，使其能够在多样化和不断变化​​的现实场景中识别更广泛的对象。

排序理由 多篇研究论文介绍了计算机视觉领域的新任务、基准和方法，特别是目标检测。

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 5 个来源。 我们如何撰写摘要 →

新的基准和框架推动开放词汇目标检测发展

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多篇研究论文介绍了计算机视觉领域的新任务、基准和方法，特别是目标检测。
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报道来源 [5]

  1. arXiv cs.CV TIER_1 English(EN) · Yupeng Zhang, Ruize Han, Wei Feng, Song Wang, Liang Wan ·

    LV-OSD：语言-视觉互补开放集目标检测

    arXiv:2605.28271v1 Announce Type: new Abstract: Object detection is an important task in computer vision, which aims to detect the objects of interest. through the given category list or query images. In this work, we propose a new problem of language-visual-complementary open-se…

  2. arXiv cs.CV TIER_1 English(EN) · Liang Wan ·

    LV-OSD：语言-视觉互补开放集目标检测

    Object detection is an important task in computer vision, which aims to detect the objects of interest. through the given category list or query images. In this work, we propose a new problem of language-visual-complementary open-set object detection (LV-OSD), i.e., using the fle…

  3. arXiv cs.CV TIER_1 English(EN) · Yupeng Zhang, Ruize Han, Yuzhong Feng, Zixin Ren, Yuntong Tian, Liang Wan ·

    COVD：持续开放词汇目标检测与新概念注入

    arXiv:2605.27116v1 Announce Type: new Abstract: Open-vocabulary object detection (OVD) has made significant progress, enabling detectors to generalize from seen to unseen categories. However, real-world category spaces continually evolve, and existing OVD models still struggle wi…

  4. arXiv cs.CV TIER_1 English(EN) · Yupeng Zhang, Ruize Han, Fangnan Zhou, Wei Feng, Liang Wan ·

    ODOV：开放域开放词汇目标检测的基准测试

    arXiv:2508.01253v2 Announce Type: replace Abstract: Existing studies typically investigate domain shift and category shift as independent problems, however, in real-world scenarios, the two types of shifts often occur simultaneously and interact, leading to significant degradatio…

  5. arXiv cs.CV TIER_1 English(EN) · Liang Wan ·

    COVD：持续开放词汇目标检测与新概念注入

    Open-vocabulary object detection (OVD) has made significant progress, enabling detectors to generalize from seen to unseen categories. However, real-world category spaces continually evolve, and existing OVD models still struggle with newly emerging concepts, while repeated full …

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