Abstract: In this paper, we propose a Multi-Level Attention and Large Kernel Network (MLA-LKNet) for remote sensing image segmentation. The MLA-LKNet introduces a dilated large kernel ...
A research team from The Hong Kong University of Science and Technology (HKUST) has developed GrainBot, an AI-enabled toolkit that automatically extracts and quantifies multiple microstructural ...
Abstract: Low-quality pseudo labels pose a significant obstacle in semi-supervised medical image segmentation (SSMIS), impeding consistency learning on unlabeled data. Leveraging vision-language model ...