LARGE-SCALE AC TRAIN SETPROBLEM TO BE SOLVED: To provide a large-scale AC train set in which a mounting load on a top car can be reduced, without markedly impairing the performance of the car.KOGA TAKESHI古賀 猛YAJIMA ATSUSHI矢島 敦...
@Misc{FairScale2021, author = {{FairScale authors}}, title = {FairScale: A general purpose modular PyTorch library for high performance and large scale training}, howpublished = {\url{https://github.com/facebookresearch/fairscale}}, year = {2021} }...
在本文中,我们将IvS数据的深度学习问题转化为一个大规模的双样本学习(Large-scaleBisampleLearning, LBL)问题,即训练数据包含大量的类,而每个类只有一个正样本对。为了增强现有的训练策略来处理LBL问题,必须解决两个挑战:双样本数据导致的弱内部变化和大量类导致的模型训练可扩展。针对弱的内部变异,提出了一种渐进的模...
2.2. Small-scale Validation 从训练集合中抽取2%,分别为测试集合和索引集合。然后包含一个噪音类的虚拟簇(We included a virtual class from a noise cluster),这是因为GLD v2包含有噪音,这样分布能够更加的贴合数据集。 回到顶部 2.3. Experimental Results ...
BERLIN, Oct. 29 (Xinhua) -- Train services in a large area of northern and centralGermanywere suspended on Sunday morning as a powerful storm codenamed "Herwart" raged across the country, tearing down trees, scaffolds and other infrastructure facilities. ...
The primary challenge in the development of large-scale artificial intelligence (AI) systems lies in achieving scalable decision-making—extending the AI models while maintaining sufficient performance. Existing research indicates that distributed AI can improve scalability by decomposing complex tasks and di...
train Delete __init__ Oct 26, 2022 LICENSE Update LICENSE Jun 19, 2022 README.md Update README.md Nov 17, 2023 View all files README License TaiSu: A 166M Large-scale High-Quality Dataset for Chinese Vision-Language Pre-training
Frontiers of Engineering Management, 2022年1月10日 1月10日,北京交通大学交通运输学院高自友教授,孙会君教授,吴建军教授带领的团队,在期刊 Frontiers of Engineering Management 发表题为 Coupling analysis of passenger and train flows for a large-scale urban rail transit system 的论文。
是在动作label和物体label上各自进行pretrain还是在一个具有两者结合的label space上进行pretrain。或者是只关注target dataset上的label来针对进行pretrain。 pretrain的数据集中应该包含长的视频还是短的视频。 I3D证明了使用Imagenet进行pretrain的模型inflate到3D也可以去的很好的效果,那么是否不需要video只使用image...
Deep learning (DL)-based predictive models from electronic health records (EHRs) deliver impressive performance in many clinical tasks. Large training cohorts, however, are often required by these models to achieve high accuracy, hindering the adoption o