EGFNet: Edge-aware guidance fusion network for RGB–thermal urban scene parsing
Urban scene parsing is the core of the intelligent transportation system, and RGB–thermal
urban scene parsing has recently attracted increasing research interest in the field of …
urban scene parsing has recently attracted increasing research interest in the field of …
Decision fusion networks for image classification
Convolutional neural networks, in which each layer receives features from the previous layer
(s) and then aggregates/abstracts higher level features from them, are widely adopted for …
(s) and then aggregates/abstracts higher level features from them, are widely adopted for …
Learning upper patch attention using dual-branch training strategy for masked face recognition
In the context of pandemic, COVID-19, recognition of masked face images is a challenging
problem, as most of the facial components become invisible. By utilizing prior information …
problem, as most of the facial components become invisible. By utilizing prior information …
Deep dual attention network for precise diagnosis of COVID-19 from chest CT images
Z Lin, Z He, R Yao, X Wang, T Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Automatic diagnosis of Coronavirus disease 2019 (COVID-19) using chest computed
tomography (CT) images is of great significance for preventing its spread. However, it is …
tomography (CT) images is of great significance for preventing its spread. However, it is …
MANet: Multi-scale aware-relation network for semantic segmentation in aerial scenes
Semantic segmentation is an important yet unsolved problem in aerial scenes
understanding. One of the major challenges is the intense variations of scenes and object …
understanding. One of the major challenges is the intense variations of scenes and object …
Context enhancing representation for semantic segmentation in remote sensing images
As the foundation of image interpretation, semantic segmentation is an active topic in the
field of remote sensing. Facing the complex combination of multiscale objects existing in …
field of remote sensing. Facing the complex combination of multiscale objects existing in …
NDNet: Spacewise multiscale representation learning via neighbor decoupling for real-time driving scene parsing
S Li, Q Yan, X Zhou, D Wang, C Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
As a safety-critical application, autonomous driving requires high-quality semantic
segmentation and real-time performance for deployment. Existing method commonly suffers …
segmentation and real-time performance for deployment. Existing method commonly suffers …
Deep attentional guided image filtering
Guided filter is a fundamental tool in computer vision and computer graphics, which aims to
transfer structure information from the guide image to the target image. Most existing …
transfer structure information from the guide image to the target image. Most existing …
Fully convolutional network-based self-supervised learning for semantic segmentation
Although deep learning has achieved great success in many computer vision tasks, its
performance relies on the availability of large datasets with densely annotated samples …
performance relies on the availability of large datasets with densely annotated samples …
[HTML][HTML] A Survey of Semantic Parsing Techniques
P Jiang, X Cai - Symmetry, 2024 - mdpi.com
In the information age, semantic parsing technology drives efficiency improvement and
accelerates the process of intelligence. However, it faces complex understanding, data …
accelerates the process of intelligence. However, it faces complex understanding, data …