In this paper, we propose a lightweight network with an adaptive batch normalization module, called Meta-BN Net, for few-shot classification. Unlike existing few-shot learning methods, which consist of complex models or algorithms, our approach extends batch normalization, an essential part of ...
In this paper,we propose a lightweight network with an adaptive batch normalization module,called Meta-BN Net,for few-shot classification.Unlike existing few-shot lear-ning methods,which consist of complex models or algorithms,our approach extends batch normalization,an essential part of current deep...
MetaNorm: Learning to Normalize Few-Shot Batches Across Domains 论文链接: https://openreview.net/forum?id=9z_dNsC4B5t 这篇文章的 motivation 是解决 DG 中的 BN 问题,它也用了 meta leanring 的 trick。 我们都知道,当网络层数很多时,每一层参数的更新会导致上一层输入数据分布变化,也就是发生 itern...
元学习方案:Finn等人提出用于few-shot学习和强化学习的模型不可知元学习(Model-Agnostic Meta-Learning, MAML)方案,有几种基于MAML的方法来解决DG问题。 该方法通过将多个源域划分为元训练域和元测试域来模拟真实的训练测试域的偏移,使DG模型具有良好的泛化能力。 问题:大多数DG方法都假设同构环境,源域和目标域共享...
N-way K-shot是few-shot learning中常见的实验设置。few-shot learning指利用很少的被标记数据训练数学模型的过程,这也正是MAML擅长解决的问题之一。N-way指训练数据中有N个类别,K-shot指每个类别下有K个被标记数据。 (4) task MAML的论文中多次出现名词task,模型的训练过程都是围绕task展开的,而作者并没有给...
for the prediction of the bond–slip model of historical reinforced concrete with few test specimens and many features. Therefore, a new Mahalanobis-Meta-learning Net algorithm was proposed, which can be used to solve the implicit regression problem in few-shot learning. Compared with the existing...
Interestingly, only METEOR and MOSAIKS29are among the best solutions for both few-shot problems within the land cover field (Table2) and across heterogeneous problems (Table3). For instance, the ResNet-50 trained contrastively with momentum contrast44from SSL4EO34only achieved rank 5.5 on the ...
This suggests the use of meta-learning techniques, commonly used for few-shot classification, for the solution of open-set recognition. A new _oPen sEt mEta LEaRning_ (PEELER) algorithm is then introduced. This combines the random selection of a set of novel classes per episode, a loss that...
Few-shot. We provide a few examples of the task (between 1 and 64) and a test example. The model takes this text as input and generates the answer or ranks different options. 少样本。我们提供了一些任务示例(介于 1 和 64 之间)和一个测试示例。模型将此文本作为输入并生成答案或对不同的选项...
Thus, compared to the baseline, the proposed architecture with meta-learning classification weight transfer network for mask generation exhibits superior performance in few-shot image segmentation. Keywords: meta-learning; few-shot image segmentation; semantic segmentation; few-shot learning...