From contexts to locality: Ultra-high resolution image segmentation via locality-aware contextual correlation

• Main Authors: LI, Qi, YANG, Weixiang, LIU, Wenxi, YU, Yuanlong, HE, Shengfeng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Contextual semantics; High resolution; High resolution image segmentation; Locality aware; Realistic applications; Resolution images; Segmentation models; Segmentation results; Semantic refinement; Ultra high resolution; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/8531; https://ink.library.smu.edu.sg/context/sis_research/article/9534/viewcontent/From_Contexts_to_Locality__Ultra_High_Resolution_Image_Segmentation_via_Locality_Aware_Contextual_Correlation.pdf
• Institution: Singapore Management University

Ultra-high resolution image segmentation has raised increasing interests in recent years due to its realistic applications. In this paper, we innovate the widely used high-resolution image segmentation pipeline, in which an ultrahigh resolution image is partitioned into regular patches for local seg...