Few-shot-NLEs
These are the materials for the paper "Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations".
You can find the small-e-WinoGrande dataset in the folder with that name.
These are the materials for the paper "Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations".
You can find the small-e-WinoGrande dataset in the folder with that name.
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HEAD 更新2021.08.16 **添加图片和视频保存功能: 1.图片和视频按照当前系统时间进行命名 2.各自检测结果存放入output文件夹 3.摄像头检测的默认设备序号更改为0,减少调试报错 温馨提示: 1.项目放置在全英文路径下,防止项目报错 2.默认使用cpu进行检测,自
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基于深度学习方法的单目多视图三维重建 Part I 三维重建 代码:Part1 技术文档:[Markdown] [PDF] 原始图像:Original Images 点云结果:Point Cloud Results-1
Supplementary materials to "Spin-optomechanical quantum interface enabled by an ultrasmall mechanical and optical mode volume cavity" by H. Raniwala,
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This repository contains code which implements the Stochastic Gaussian Mixture Model (S-GMM) for event-based datasets Dependencies CMake Premake4 Blaz
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