Recently, concerning the challenge of collecting large-scale explicitly annotated videos, weakly supervised video object segmentation (WSVOS) using video tags has attracted much attention. Existing WSVOS approaches follow a general pipeline including two phases, i.e., a pseudo masks generation phase ...
这可以提供更丰富的细节特征。 通过调整原型数量 N,可以控制特征分组的粒度,在全局信息和局部细节之间进行权衡。 假设F ∈ RH×W×C 是输入图像的特征表示。通过将 F 映射到 N 个可学习的集群原型 P ∈ RN×C 来执行特征分组。这些簇原型P是随机初始化的。首先将可学习的空间位置嵌入 Pe 附加到输入特征 F ...
论文阅读笔记 | (IJCAI 2018 Oral) Collaborative Learning for Weakly Supervised Object Detection,程序员大本营,技术文章内容聚合第一站。
探索计算机视觉新领域：弱监督学习的深度解析 在计算机视觉的广袤世界中，监督与非监督学习的界限日益模糊，而其中弱监督学习的璀璨之星正崭露头角。周志华教授的专著《Weakly Supervised Learning》为我们揭示了这一独特学习策略的无限可能，它涵盖了三种独特的类型：不完全监督、不确切监督和不精确监督。应对...
论文总共分成了三个阶段:1. Peak Stimulation(峰值激活)---产生CPM(类峰值图)2. Peak Back-propagation (峰值反向传播)---产生PRM(峰值响应图)3.Weakly Supervised Instance Segmentation(弱监督实例分割) 一、第一个过程 :Peak Stimulation(峰值激活)---产生CPM(类峰值图) 输入...
3) Cross-entropy, Dice loss, or their variants are typically used as the loss functions to train Convolutional Neural Networks (CNNs) [19], [20], while they are not sufficient when dealing with weakly-supervised segmentation, and other guidance is required. It is known that CNNs with ...
title={Weakly Supervised Object Detection With Segmentation Collaboration}, author={Xiaoyan, Li and Meina, Kanand Shiguang, Shan and Xilin, Chen}, booktitle={IEEE International Conference on Computer Vision (ICCV)}, year={2019}, pages={9735-9744} ...
title={Weakly Supervised Object Detection With Segmentation Collaboration}, author={Xiaoyan, Li and Meina, Kanand Shiguang, Shan and Xilin, Chen}, booktitle={IEEE International Conference on Computer Vision (ICCV)}, year={2019}, pages={9735-9744} ...
Weakly Supervised Semantic Segmentation using Web-Crawled Videos CVPR2017 https://arxiv.org/abs/1701.00352 一不小心看到了一篇关于弱监督的语义分割的文献,这才发现仅一个弱监督语义分割就是大坑啊,看看这篇文章的参考文献就知道了。 与弱监督对应的就是强监督语义分割,即我们平时所说的语义分割,训练样本就是基...
The semantic segmentation task is to assign a label from a label set to each pixel in an image. In the case of fully supervised setting, the dataset consists of images and their corresponding pixel-level class-specific annotations (expensive pixel-level annotations). However, in the weakly-...