How Long to Read Semantic Image Segmentation

How Long Does it Take to Read Semantic Image Segmentation?

It takes the average reader to read Semantic Image Segmentation by GABRIELA CSURKA; RICCARDO VOLPI; BORIS CHIDLOVSKII.

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Description

Semantic image segmentation (SiS) plays a fundamental role towards a general understanding of the image content and context, in a broad variety of computer vision applications, thus providing key information for the global understanding of an image.This monograph summarizes two decades of research in the field of SiS, where a literature review of solutions starting from early historical methods is proposed, followed by an overview of more recent deep learning methods, including the latest trend of using transformers.The publication is complemented by presenting particular cases of the weak supervision and side machine learning techniques that can be used to improve the semantic segmentation, such as curriculum, incremental or self-supervised learning. State-of-the-art SiS models rely on a large amount of annotated samples, which are more expensive to obtain than labels for tasks such as image classification. Since unlabeled data is significantly cheaper to obtain, it is not surprising that Unsupervised Domain Adaptation (UDA) reached a broad success within the semantic segmentation community. Therefore, a second core contribution of this monograph is to summarize five years of a rapidly growing field, Domain Adaptation for Semantic Image Segmentation (DASiS), which embraces the importance of semantic segmentation itself and a critical need of adapting segmentation models to new environments. In addition to providing a comprehensive survey on DASiS techniques, newer trends such as multi-domain learning, domain generalization, domain incremental learning, test-time adaptation and source-free domain adaptation are also presented. The publication concludes by describing datasets and benchmarks most widely used in SiS and DASiS and briefly discusses related tasks such as instance and panoptic image segmentation, as well as applications such as medical image segmentation.This monograph should provide researchers across academia and industry with a comprehensive reference guide, and will help them in fostering new research directions in the field.

How long is Semantic Image Segmentation?

Semantic Image Segmentation by GABRIELA CSURKA; RICCARDO VOLPI; BORIS CHIDLOVSKII. is 0 pages long, and a total of 0 words.

This makes it 0% the length of the average book. It also has 0% more words than the average book.

How Long Does it Take to Read Semantic Image Segmentation Aloud?

The average oral reading speed is 183 words per minute. This means it takes to read Semantic Image Segmentation aloud.

What Reading Level is Semantic Image Segmentation?

Semantic Image Segmentation is suitable for students ages 2 and up.

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