The methods may even degrade the accuracy in classifying instances of classes that have not been seen previously, called zero-shot learning. While the classification results achieved by the zero-shot learning methods are steadily improved, different problem settings, and diverse experimental setups ...
Retinal image registration Zero-shot image registration Inverse consistency Outlier detector 1. Introduction Image registration is a fundamental technique in medical imaging, with diverse applications including image-guided radiation therapy [1], disease progression monitoring [2], motion tracking [3], brai...
论文笔记-Image-to-Image Translation ConditionalGAN 原文地址: https://arxiv.org/pdf/1611.07004.pdfpixel2pixel,conditional GAN,就是条件GAN。如题是个image-to-image的translation的问题,作者说了,不仅是学了个model,如何将一个imag… Liii [论文笔记]Training data-efficient image transformers Liews...发表于...
有许多方法可以实现few-shot learning,包括模型无关的元学习(Finn等,2017)(迅速适应新任务的学习特征),嵌入学习(Bertinetto等,2016)(将每个样本嵌入到一个较低维度的空间中,其中相似的样本彼此靠近),基于记忆的学习(Kaiser等,2017)(通过从内存中内容的加权平均来表示每个样本)。Prompt增强可以被看作是实现few-shot ...
【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。
In order to improve the robustness of the similarity metric method of image classification, and reduce the complexity of the measure function, the Pearson correlation coefficient is introduced to improve the zero-shot image classification. Firstly, the mapping matrix from visual space to semantic space...
The tasks of few-shot, one-shot, and zero-shot learning—or collectively “low-shot learning” (LSL)—at first glance are quite similar to the long-standing task of class imbalanced learning; specifically, they aim to learn classes for which there is little labeled data available. Motivated ...
Zero-shot Medical Image Translation via Frequency-Guided Diffusion Models Yunxiang Li, Hua-Chieh Shao, Xiao Liang, Liyuan Chen, Ruiqi Li, Steve Jiang, Jing Wang, You Zhang [5th Apr., 2023] [arXiv, 2023] [Paper] [Github]Class-Guided Image-to-Image Diffusion: Cell Painting from Bright...
Rethinking Few-Shot Image Classification: a Good Embedding Is All You Need? echooOO 4 人赞同了该文章 Abstract 近年来元学习研究的重点是开发能够快速适应数据有限、计算成本低的测试时间任务的学习算法。小样本学习被广泛应用于元学习的标准基准之一。在这项工作中,我们展示了一个简单的基线:在元训练集上学习...
文章名称:CLIPTEXT: A New Paradigm for Zero-shot Text Classification 来源链接:CLIPText: A New Paradigm for Zero-shot Text Classification - ACL Anthology 源代码:https://github.com/LightChen233/CLIPText 2.问题 While CLIP models are useful for zero-shot vision-and-language (VL) tasks or compute...