Image segmentation and classification are very important topics in GIS and remote sensing applications. Both are approaches to extracting features from imagery based on objects. Segmentation groups pixels in close proximity and having similar spectral characteristics into a segment, which doesn't need any...
To analyze an image, an algorithm performs feature extraction, segmentation and classification procedures. We first propose a multiscale segmentation and classification algorithm based on an image. The multiscale segmentation algorithm contains the multiscale sigma filter and active contour algorithm. We ...
(1)根据 labeled sample 生成更多 new sample, 目标是用尽可能少的labeled sample来train 网络,并获得尽可能多的accuracy. 创新点: 可能存在的不足: (1)data augmentation的不足? (2)mask的生成过程?随机噪声生成的不足? (3)original labeled sample 对accuracy的影响比较大,(希望通过对网络部分的改进,解决此问...
另一种半监督方法“multi-view”训练技术,训练多重模型形成数据的不同的表达,例如训练包含3个不同的模型,在相同的数据集上使用bootstrap采样作为训练数据。在模型的有监督训练后,只有当其他两个模型在其标签上达成一致时,才会将未标记的数据点添加到一个模型的训练集中。 另一种半监督的方法为“self ensembling”,...
This paper describes a likelihood-based segmentation and classification method for remotely sensed images. It is based on optimization of a utility function that can be described as a cost-weighted likelihood for a collection of objects and their parameters. As the likelihood or posterior probabilities...
在有监督学习方面,主要从骨干网络设计、网络关键组件设计和损失函数设计三个方面进行介绍;在弱监督学习方面,主要总结了用于处理少样本数据或不平衡样本数据的三类方法:数据增强(data augmentation)、迁移学习(transfer learning)和交互分割(interactive segmentation);在最新研究方面,主要介绍了神经网络架构搜索(NAS)、图卷积...
Middle level: image classification, segmentation ... High level: scene understanding (e.g., 看图说话) Low level并不意味着低级、简单,而是非常基础的任务,图像本身的质量将直接影响后续的分割、分类、场景理解等任务。 2012年以来,CNN在图像分类、分割、语义理解等中高层任务中取得了比传统方法更好的效果。一...
Image segmentation is a computer vision technique that partitions digital images into discrete groups of pixels for object detection and semantic classification.
@inproceedings{ji2019invariant, title={Invariant information clustering for unsupervised image classification and segmentation}, author={Ji, Xu and Henriques, Jo{\~a}o F and Vedaldi, Andrea}, booktitle={Proceedings of the IEEE International Conference on Computer Vision}, pages={9865--9874}, year...
目前ImageNet 对比其它已有数据集,确少图像分割的注释(segmentation annotations),可以考虑在未来工作对数据集增加图像分割的信息。 13 重要的相关论文 WordNet数据库:wordnet.princeton.edu/以及相关论文:WordNet: An Electronic Lexical Database Torralba等人 [24] 已经证明,给定大量的图像,尽管噪声水平很高,简单的最近...