MATNet: multiattention Transformer network for cropland semantic segmentation in remote sensing images
Z Zhang, L Huang, BH Tang, W Le… - … Journal of Digital …, 2024 - Taylor & Francis
Remote sensing image semantic segmentation methods have become the main approach
for extracting cropland information. However, in the mountainous regions of southwestern …
for extracting cropland information. However, in the mountainous regions of southwestern …
Beyond low-dimensional features: Enhancing semi-supervised medical image semantic segmentation with advanced consistency learning techniques
Y Lu, W Li, Z Cui, Y Zhang - Expert Systems with Applications, 2025 - Elsevier
In medical imaging, semantic segmentation is crucial for accurate diagnosis. However, it is
constrained by the scarcity of labeled data. To reduce the dependency on extensive …
constrained by the scarcity of labeled data. To reduce the dependency on extensive …
Embedding Generalized Semantic Knowledge into Few-Shot Remote Sensing Segmentation
Q Wang, Y Jia, J Gao, Q Li - IEEE Transactions on Geoscience …, 2024 - ieeexplore.ieee.org
Few-shot segmentation (FSS) for remote sensing (RS) imagery leverages supporting
information from limited annotated samples to achieve query segmentation of novel classes …
information from limited annotated samples to achieve query segmentation of novel classes …
Embedding Generalized Semantic Knowledge into Few-Shot Remote Sensing Segmentation
Few-shot segmentation (FSS) for remote sensing (RS) imagery leverages supporting
information from limited annotated samples to achieve query segmentation of novel classes …
information from limited annotated samples to achieve query segmentation of novel classes …