Ultra-high resolution image segmentation via locality-aware context fusion and alternating local enhancement

• Main Authors: LIU, Wenxi, LI, Qi, LIN, Xindai, YANG, Weixiang, HE, Shengfeng, YU, Yuanlong
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Attention mechanisms; Context-guided vision model; Geo-spatial; Geo-spatial image segmentation; High resolution image segmentation; Images segmentations; Spatial images; Ultra-high resolution image segmentation; Ultrahigh resolution; Vision model; Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/9770; https://ink.library.smu.edu.sg/context/sis_research/article/10770/viewcontent/Ultra_High_Resolution_Image_Segmentation_via_Locality_Aware_Context_Fusion_and_Alternating_Local_Enhancement.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 ultra-high resolution image is partitioned into regular patches for local se...