Geospatial Contextual Attention Mechanism for Automatic and Fast Airport Detection in SAR Imagery
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3024546
Abstract: The automatic extraction of airport runway areas from high-resolution Synthetic Aperture Radar (SAR) images is of great research significance in the military and civilian fields. However, it is still challenging to distinguish the airport from… read more here.
Keywords: sar; sar images; geospatial contextual; airport ... See more keywords
PiCANet: Pixel-Wise Contextual Attention Learning for Accurate Saliency Detection
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2020.2988568
Abstract: Existing saliency models typically incorporate contexts holistically. However, for each pixel, usually only part of its context region contributes to saliency prediction, while other parts are likely either noise or distractions. In this paper, we… read more here.
Keywords: wise contextual; attention; contextual attention; pixel wise ... See more keywords
BA-GCA Net: Boundary-Aware Grid Contextual Attention Net in Osteosarcoma MRI Image Segmentation
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/3881833
Abstract: Osteosarcoma is one of the most common bone tumors that occurs in adolescents. Doctors often use magnetic resonance imaging (MRI) through biosensors to diagnose and predict osteosarcoma. However, a number of osteosarcoma MRI images have… read more here.
Keywords: osteosarcoma; contextual attention; segmentation; mri ... See more keywords