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英文字典中文字典相关资料:


  • Few-Shot Object Detection with Foundation Models - CVF Open Access
    In this work, we study few-shot object detection using modern foundation models First, the pre-trained DINOv2 model is used for the vision backbone and is frozen during training, which achieves strong performance for both base classes and novel classes
  • CVPR 2024 | 基于基础模型的少样本目标检测_few-shot object . . .
    首先,使用仅视觉对比预训练的DINOv2模型作为视觉骨干,该模型在不调整参数的情况下表现出强大的可迁移性能。 其次,使用大型语言模型(LLM)进行上下文少样本学习,输入所有类别和查询图像提议。
  • FSOD-VFM: Few-Shot Object Detection with Vision Foundation Models and . . .
    In this paper, we present FSOD-VFM: Few-Shot Object Detectors with Vision Foundation Models, a framework that leverages vision foundation models to tackle the challenge of few-shot object detection
  • 【CVPR2024】Few-Shot Object Detection with Foundation . . .
    作者简介:Ser-Nam Lim,马里兰大学帕克分校博士学位,2018年-2023年在Meta(前身Facebook)参与计算机视觉、NLP和其他AI领域的研究,研究内容主要是确保航空和电力行业的安全、检测Meta平台上的错误信息,最近专注于AI用于对用户内容的推荐,包括大语言模型(LLM)和计算机视觉交叉点的搜索引擎,2023年秋季加入中佛罗里达大学。 代表工作为Visual prompt tuning。 本文主要目的是提高小样本目标检测的精度,用DINOv2预训练的模型作为视觉backbone,使用大语言模型(LLM)来对类别、查询图像这两种输入信息进行上下文小样本学习。
  • [ICLR 2026] FSOD-VFM: Few-Shot Object Detection with Vision Foundation . . .
    Our work builds upon excellent open-source projects including No-Time-To-Train, SAM2, ChatRex, DINOv2, and RADIOv4 We sincerely thank their authors for their contributions to the community
  • Few-Shot Object Detection with Foundation Models - IEEE Xplore
    Few-shot object detection (FSOD) aims to detect objects with only a few training examples Visual feature extraction and query-support similarity learning are t
  • Few-Shot Object Detection with Foundation Models
    In this work, we study few-shot object detection using modern foundation models First, vision-only contrastive pre-trained DINOv2 model is used for the vision backbone, which shows strong transferable performance without tuning the parameters
  • ECCV 2024丨跨域小样本物体检测CD-FSOD新数据集、CD . . .
    本篇分享 ECCV 2024 论文 Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector,跨域小样本物体检测 CD-FSOD 新数据集、 CD-ViTO 新方法(数据代码均已开源)。





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