本文讲解小样本学习(Few-Shot Learning)基本概念及基本思路,孪生网络(Siamese Network)基本原理及训练方法。 小样本学习(Few-Shot Learning)(二)讲解小样本学习问题的Pretraining+Fine Tuning解法。 小样本学习(Few-Shot Learning)(三)使用飞桨(PaddlePaddle)基于paddle.vision.datasets.Flowers数据集实践小样本学习问题的...
Few-shot Learning V.S Zero-shot Learning 小样本学习的目的是在有少量训练数据的情况下能获得准确分类测试样本的模型 零样本学习的目的是预测训练数据集中没有出现过的类 零样本学习和小样本学习有很多共同的应用,如: 图像分类 (image classification) 语义分割 (semantic segmentation) 图像生成 (image generation)...
论文链接:Few shot learning with graph neural networks github代码链接:pytorch实现 1,INTRODUCTIION 1,元学习(新的监督学习):它的输入-输出对设置由图像集合的iid样本及其相关标签相似性代替了图像的iid样本和它相关标签. 2,探索利用相似样本的分布 代替 利用正则化取弥补数据的不足 3.文章贡献: ... ...
一个深入研究的元学习问题是小样本分类(few-shotclassification),其中每项任务都是一个分类问题,学习器在每个类别下只能看到1到5个输入-输出样本(input-output examples),然后就要给新输入的样本进行分类。 下面是应用 元学习—基于元学习的上下文快速适应(Fast Context Adaptation via Meta-Learning) ...
AI/ML Deep Learning Rohit Kundu and James Skelton The success of Deep Learning models in Computer Vision tasks like image classification, semantic segmentation, object detection, etc., is attributed to taking advantage of the vast amounts of labeled data used for training a network - a method ...
python × 4 pytorch × 4 huggingface-transformers × 4 machine-learning × 3 artificial-intelligence × 3 meta-learning × 3 large-language-model × 3 object-detection × 2 prompt × 2 text-classification × 2 fine-tuning × 2 openai-api × 2 ...
1. metric learning(度量学习) 代表论文: Siamese Neural Networks for One-shot Image Recognition 2015 论文地址: https://www.cs.cmu.edu/~rsalakhu/papers/oneshot1.pdf 简介: 利用孪生网络训练sample之间的度量(相似性) 网络结构: 孪生网络-孪生网络使用两个相同的网络,接收不同输出,网络间共享参数。共享参数...
machine-learning research pytorch maml meta-learning omniglot miniimagenet few-shot-learning Updated Nov 25, 2019 Python hendrycks / test Star 1.2k Code Issues Pull requests Measuring Massive Multitask Language Understanding | ICLR 2021 transfer-learning few-shot-learning gpt-3 muti-task Up...
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification. - easy-few-shot-learning/setup.py at master · sicara/easy-few-shot-learning
【论文笔记】Rethinking Few-Shot Image Classification: A Good Embedding Is All You Need?,程序员大本营,技术文章内容聚合第一站。