论文地址:One-Shot Learning for Semantic Segmentation 代码地址:https://github.com/lzzcd001/OSLSM(语言为caffe) 主要想法是利用support set学习parametric用于分割query set,并且和Siamese Network迁移到one-shot segmentation的效果进行比较(虽然本文中说明了Siamese Network的效果不如parametric-based method,但是后面很...
论文地址:One-Shot Learning for Semantic Segmentation 本文扩展了图像分类中小样本学习的方法应用到图像分割,即从学习稀疏数据到学习密集数据,生成了一个全卷积网络(FCN)来实现像素级的预测。 预备知识1:小样本分割问题定义 输入: Xy support image 三通道彩色图片(H*W*3) 二进制mask(H*W*1) query image 三通...
论文阅读笔记《Conditional networks for few-shot semantic segmentation》 核心思想 本文提出一种可以利用稀疏标签实现小样本语义分割任务的算法(co-FCN)。整个网络的结构与上篇文章《One-ShotLearningforSemantic...的特征图,将其与条件通道输出的特征图级联起来经过一个卷积神经网络后输出对应的二元掩码图。 文中提到...
Y is the predicted semantic label 2、use the averaged vector to guide the segmentation process CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning (2019.03) Dense Comparison Module: Feature Extractor:ResNet-50,使用中间 block 的 feature(middle-level feat...
One-shot Learning for Semantic Segmentation (OSLSM) By Amirreza Shaban, Shray Bansal, Zhen Liu, Irfan Essa and Byron Boots Paper You can find our paper at https://arxiv.org/abs/1709.03410 Citation If you find OSLSM useful in your research, please consider to cite: @inproceedings{shaban2017...
Source: [One-Shot Learning for Semantic Segmentation](https://arxiv.org/pdf/1709.03410v1.pdf) 相关学科:One-Shot Instance SegmentationReferring Expression SegmentationOne-Shot LearningVideo Object SegmentationMedical Image SegmentationFCNMask R-CNNHeatmapGraph Convolutional NetworkSelf-Supervised Learning ...
Semantic segmentationOne-shot learningAdversarial learningGenerative adversarial networksOne-shot semantic segmentation aims to recognize unseen object regions by using the reference of only one annotated example. Many deep convolutional neural networks have achieved enormous success on this task. However, ...
One-shot learning for semantic segmentation. arXiv preprint arXiv:1709.03410, 2017. 1, 3 [41] Ali Sharif Razavian, Hossein Azizpour, Josephine Sullivan, and Stefan Carlsson. Cnn features off-the-shelf: an astound- ing baseline for recognition. In Proceedings of the IEEE c...
One-Shot Learning for Semantic Segmentation(OSLSM) 用于图像分割的单样本学习(OSLSM) 本文算是小样本学习的经典之作,虽然以现在的角度来看比较粗糙,但仍然值得学习! 论文地址 开源代码 概述 本文从few shot学习中得到启发,提出了一种新的双分支的一次性语义图像分割方法。第一个分支将标记的图像作为输入,并生成...
Zero-shot learning 就是希望我们的模型能够对其从没见过的类别进行分类,让机器具有推理能力,实现真正的智能。其中零次(Zero-shot)是指对于要分类的类别对象,一次也不学习。 1.2 实例 假设我们的模型已经能够识别马、老虎和熊猫了,现在需要该模型也识别斑马,那么我们需要告诉模型,怎样的对象才是斑马,但是并不能直接让...