原文: OSCD: A one-shot conditional object detection framework 作者:Kun Fu a,b,c, Tengfei Zhang a,b,c,⇑, Yue Zhang a,b, Xian Sun a,b 一、简介 近年来,基于深度学习的模型在目标检测[1-7]、照片裁剪[8]、图像分割[9,10]、视频突出目标检测[11]和视觉跟踪[12,13]方面取得了很大的进展...
To overcome this problem, we propose a novel one-shot conditional detection framework (OSCD). Given a support image of the target object and a query image as input, OSCD can detect all objects belonging to the target object category in the query image. Specifically, OSCD is composed of a...
Given a query patch from a novel class, one-shot object detection aims to detect all instances of this class in a target image through the semantic similarity comparison. However, due to the extremely limited guidance in the novel class as well as the un
git clone https://github.com/timy90022/One-Shot-Object-Detection.git 1. Prerequisites Ubuntu 16.04 Python or 3.6 Pytorch 1.0 2. Data Preparation COCO: Please also follow the instructions inpy-faster-rcnnto prepare the data. See the scripts provided in this repository. ...
One-shot object detection aims at detecting novel objects according to merely one given instance. With extreme data scarcity, current approaches explore various feature fusions to obtain directly transferable meta-knowledge. Yet, their performances are often unsatisfactory. In this pap...
One-shot object detection aims at detecting novel objects according to merely one given instance. With extreme data scarcity, current approaches explore various feature fusions to obtain directly transferable meta-knowledge. Yet, their performances are often unsatisfactory. In t...
One-shot object detection aims at detecting novel objects according to merely one given instance. With extreme data scarcity, current approaches explore various feature fusions to obtain directly transferable meta-knowledge. Yet, their performances are often unsatisfactory. In this paper, we attribute th...
这篇指南探讨了Niels Rogge的Transformers-Tutorials存储库中的教程,重点是使用OWLv2进行零和一次性目标检测。该教程是对那些对机器学习前沿感兴趣的人的实用资源,特别是在转换器模型及其在目标检测任务中的应用领域。它通过展示如何在几... 这篇指南探讨了Niels Rogge的Transformers-Tutorials存储库中的教程,重点是使用OWL...
One shot, generic object detection involves searching for a single query object in a larger target image. Relevant approaches have benefited from features that typically model the local similarity patterns. In this paper, we combine local similarity (encoded by local descriptors) with a global contex...
[2019CVPR论文笔记]One-Shot Object Detection with Co-Attention and Co-Excitation,程序员大本营,技术文章内容聚合第一站。