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[HTML][HTML] Semantic segmentation of agricultural images: A survey
Z Luo, W Yang, Y Yuan, R Gou, X Li - Information Processing in Agriculture, 2024 - Elsevier
As an important research topic in recent years, semantic segmentation has been widely
applied to image understanding problems in various fields. With the successful application …
applied to image understanding problems in various fields. With the successful application …
A comprehensive review and new taxonomy on superpixel segmentation
Superpixel segmentation consists of partitioning images into regions composed of similar
and connected pixels. Its methods have been widely used in many computer vision …
and connected pixels. Its methods have been widely used in many computer vision …
Hgformer: Hierarchical grou** transformer for domain generalized semantic segmentation
Current semantic segmentation models have achieved great success under the
independent and identically distributed (iid) condition. However, in real-world applications …
independent and identically distributed (iid) condition. However, in real-world applications …
EMS-GCN: An end-to-end mixhop superpixel-based graph convolutional network for hyperspectral image classification
The lack of labels is one of the major challenges in hyperspectral image (HSI) classification.
Widely used Deep Learning (DL) models such as convolutional neural networks (CNNs) …
Widely used Deep Learning (DL) models such as convolutional neural networks (CNNs) …
ESCNet: An end-to-end superpixel-enhanced change detection network for very-high-resolution remote sensing images
Change detection (CD), as one of the central problems in Earth observation, has attracted a
lot of research interest over recent decades. Due to the rapid development of satellite …
lot of research interest over recent decades. Due to the rapid development of satellite …
Accurate and efficient stereo matching via attention concatenation volume
Stereo matching is a fundamental building block for many vision and robotics applications.
An informative and concise cost volume representation is vital for stereo matching of high …
An informative and concise cost volume representation is vital for stereo matching of high …