论文笔记STM:Video Object Segmentation using Space-Time Memory Networks STM首次将Memory Network引入VOS领域,引申为一个space-tine的memory network,并实现了较好的分割准确率以及较快的速度。DAVIS2020大赛很多优秀的模型都是根据STM进行改造的,可见其具有很棒的指导意义和研究价值。在STM出现之间,VOS的方法基本包括以...
The problem of semi-supervised video object segmentation has been popularly tackled by fine-tuning a general-purpose segmentation deep network on the annotated frame using hundreds of iterations of gra-dient descent. The time-consuming fine-tuning process, however, makes these methods difficult to ...
《FRTM:Learning Fast and Robust Target Models for Video Object Segmentation》论文笔记 参考代码:frtm-vos 1. 概述 导读:这篇文章针对视频分割问题提出了一种新的算法frtm-vos,这个算法主要由两个部分组成:target appearance model(文中也叫:light-weight discriminative target model)和segmentation model。这两...
论文标题:One-Shot Video Object Segmentation 源代码:www.vision.ee.ethz.ch/˜cvlsegmentation/osvos/ motivation 计算机视觉领域中,Image和目标有关的经典任务有三种:分类、检测和分割。其中分类是实现“是什么”,检测和分割都可以实现定位,前者是依照边界框形式,而后者是像素级的分割。 Video实现目标检测任务有...
[论文笔记] OSVOS:One-Shot Video Object Segmentation 说在前面 个人心得: 1. 半监督的VOS是在给定第一帧的mask的情况下,将对象与视频中的背景分离 2. OSVOS每一帧都是独立处理,并没有在时序上强加约束 3. 数据集是DAVIS(79.8%)和Youtube-Object(68.0%) CVPR 2017,原文链接:arxiv.org/abs/1611.0519...
One-Shot Video Object Segmentation (OSVOS) is a CNN architecture to tackle the problem of semi-supervised video object segmentation, which performs the separation of an object from the background in a frame-independent way with the aid of one manually-segmented frame. However, in the scenarios ...
One-Shot Video Object Segmentation (OSVOS) 算法总体的思路如下: 先在ImageNet 训练一个图像分类模型,得到的网络称之为 Base Network,接着我们 在 DAVIS 训练一个分割网络,得到 Parent Network,最后我们在目标视频上微调,得到 Test Network。前两个网络的训练都是 offline, 最后一个网络的训练是 online ...
OSVOS is a method that tackles the task of semi-supervised video object segmentation. It is based on a fully-convolutional neural network architecture that is able to successively transfer generic semantic information, learned on ImageNet, to the task of foreground segmentation, and finally to learn...
This is the implementation of our workOne-Shot Video Object Segmentation (OSVOS), for semi-supervised video object segmentation. OSVOS is based on a fully convolutional neural network architecture that is able to successively transfer generic semantic information, learned on ImageNet, to the task of...
One- shot video object segmentation. In Proceedings of the IEEE conference on computer vision and pattern recogni- tion, pages 221–230, 2017. 3 [6] Ricky TQ Chen, Xuechen Li, Roger B Grosse, and David K Duvenaud. Isolating sources of disentanglement in varia- tional ...