大斜视条带合成孔径雷达仿真程序,包括回波仿真
The dataset is a large-scale detailed 3D face dataset and riggable 3D face prediction. It is included in CVPR2020. 本数据集包含大量细致的3D人脸图像,可用于3D人脸预测,相关论文被收录在CVPR2020。 Yang_FaceScape_A_Large-Scale_High_Quality_3D_Face_Dataset_and_Detailed_CVPR_2020_paper.pdf
2022-07-13 18:08:34 7.85MB 数据集
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IMDB Large Movie Review Dataset 适用于情感二元分类的数据集,旨在作为情绪分类的基准,该数据集中有 50,000 条两极分化明显的电影评论拥有训练和测试,还有 50,000 条未经标记的数据可供使用。 该数据集由斯坦福大学于 2011 年发布,相关论文有《Learning Word Vectors for Sentiment Analysis》。
2022-07-13 16:05:36 137.77MB 数据集
Large-scale Incremental Processing Using Distributed Transactions and Notifications.pdf Updating an index of the web as documents are crawled requires continuously transforming a large repository of existing documents as new documents arrive. This task is one example of a class of data processing tasks that transform a large repository of data via small, independent mutations. These tasks lie in a gap between the capabilities of existing infrastructure.
2022-07-12 09:06:59 203KB 数据库 分布式事务 事务
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LARGE函数案例.pdf 学习资料 复习资料 教学资源
2022-07-11 14:06:24 20KB 计算机
It is estimated that over 90% of all new information produced in the world is being stored on magnetic media, most of it on hard disk drives. Despite their importance, there is relatively little published work on the failure patterns of disk drives, and the key factors that affect their lifetime. Most available data are either based on extrapolation from accelerated aging experiments or from relatively modest sized field studies. Moreover, larger population studies rarely have the infrastructure
2022-07-09 16:05:27 384KB 数据库 磁盘
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L2_2021. Basics of Converter Modeling(Large-signal model).pdf
2022-06-10 11:10:23 1.17MB 开关电源
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Large Files Finder 是一款方便实用的电脑大文件查找软件,能帮助用户闪电般查找计算机电脑中查找大量占用磁盘空间的大体积文件,根据威航软件园的实际测试,100万个文件扫描速度不到一分钟时间即可完成,扫描结果可以按类别、扩展名、日期或大小轻松过滤大文件,并以直观的图表形式展示给大家,同时根据需要予以删除,综合测试下来是一款挺好用的大文件查找工具,如果大家还不知道如何查找电脑上的大文件,那么Large Files Finder无疑是提供了一个非常理想的电脑查找大文件的方法。
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大型数据库系统技术课程 1-1-Large Database Introduction大型数据库技术介绍 共63页.pptx
2022-05-31 09:05:40 6.22MB 数据库 文档资料 database
训练自己的数据集 感谢 大佬的开源!!! DataXujing 我们以训练YOLOv4-P7为例,介绍如何基于Scaled YOLOv4训练自己的数据集 0.环境配置 python3.7 cuda 10.2 pytorch==1.6.0 torchvision==0.7.0 # mish-cuda # 使用预训练的模型 git clone https://github.com/thomasbrandon/mish-cuda mc cd mc # change all of name which is mish_cuda to mish_mish and build. # 1. mc/src/mish_cuda -> mc/src/mish_mish # 2. mc/csrc/mish_cuda.cpp -> mc/csrc/mish_mish.cpp # 3. in mc/setup.p
2022-05-14 15:18:18 6.05MB pytorch object-detection yolov4-large scaledyolov4
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