论文标题 FEW-SHOT DETECTION OF MACHINE-GENERATED TEXT USING STYLE REPRESENTATIONS 基于风格表示的少样本机器生成文本检测 论文链接 https://volctracer.com/w/AMsrUwWU 论文作者 Rafael Rivera Soto, Kailin Koch, Aleem Khan, Barry Chen, Marcus Bishop, Nicholas Andrews 内容简介 随着指令微调语言模型的出现，...
14 Feb 2024·Jie Mei,Mingyuan Jiu,Hichem Sahbi,Xiaoheng Jiang,Mingliang Xu· Few-shot detection is a major task in pattern recognition which seeks to localize objects using models trained with few labeled data. One of the mainstream few-shot methods is transfer learning which consists in pretr...
- 任务:跨域小样本物体检测(Cross-Domain Few-Shot Object Detection,简称CD-FSOD) - 标题:Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector 这篇文章主要是针对目前大多数跨域小样本学习方法均集中于研究分类任务而忽略了目标检测,因而提出了研究跨域小样本物体检测任务, 文章中提出了...
Few-Shot Open-Set Object Detection via Conditional Evidence Decoupling zjzwzw/ced-food• •26 Jun 2024 To mitigate this issue, we develop a two-stage open-set object detection framework with prompt learning, which delves into conditional evidence decoupling for the unknown rejection. ...
Research Article Few-Shot Symbol Detection in Engineering Drawings Laura Jamieson, Eyad Elyan & Carlos Francisco Moreno-García Article: 2406712 | Published online: 29 Sep 2024 Cite this article https://doi.org/10.1080/08839514.2024.2406712 CrossMark Full Article Figures & data References Sup...
少镜头图像识别(Few-Shot Image Recognition)的目标是开发出能够有效地适应在有限的样本数据下进行识别和分类的模型。由于新的类别标记样本数目少,一个简单的方法是利用来自其他模态的信息作为辅助指导,例如CLIP。 类CLIP模型示意图 其中使用单独的文本编码器和图像编码器来生成图像特征。尽管基于文本的语义提示方法在少...
stage fine- tuning method, the detection performance of the proposed algorithm is greatly improved, which solves the problem of the deliine of network detection ability under the coupling contradiction of few shot intensification, and improves the detection accuracy ...
Few-shot detection is a major task in pattern recognition which seeks to localize objects using models trained with few labeled data. One of the mainstream few-shot methods is transfer learning which consists in pretraining a detection model in a source domain prior to its fine-tuning in a ta...
2 Jul 2024·Anay Majee,Ryan Sharp,Rishabh Iyer· Confusion and forgetting of object classes have been challenges of prime interest in Few-Shot Object Detection (FSOD). To overcome these pitfalls in metric learning based FSOD techniques, we introduce a novel Submodular Mutual Information Learning (...
2020. Few-shot object detection with attention-RPN and multirelation detector. In Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR’20). 4012–4021. 2.3 标准化 文章提出目前最常用的用两种标准。 (1)VOC-07/12: 基于VOC07和VOC12数据集,在VOC07训练集...