May 12, 2023 · In this paper, an Orientation Attention Network (OANet) is proposed to learn both orientation features and global semantic features of ground objects for ...
May 12, 2023 · In this paper, an Orientation Attention Network (OANet) is proposed to learn both orientation features and global semantic features of ground objects for ...
May 12, 2023 · With the increasing resolution of remote sensing images, semantic segmentation has become a challenging task for the extremely abundant ...
Using the multiscale features of the image effectively improves the coarse results of feature extraction and fuses the global contextual semantic features, but ...
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BGFNet: boundary information-aided graph structure fusion network for semantic segmentation of remote sensing images · Computer Science, Environmental Science.
Abstract: Semantic segmentation in remote sensing images is beneficial to detect objects and understand the scene in earth observation.
Missing: Orientation | Show results with:Orientation
In this repository, a novel attention mechanism of kernel attention with linear complexity is proposed to alleviate the large computational demand in attention.
Missing: Orientation | Show results with:Orientation
Apr 22, 2023 · In this paper, we integrate both scene-aware and class attentions to propose a scene-aware class attention network (SACANet) for semantic segmentation of ...
Missing: Orientation | Show results with:Orientation
Jul 8, 2024 · This study also proposes a dataset, Water Land Dataset (WLD), which consists mainly of pixels of water and land pixels. Gaofen Image Dataset ( ...
Missing: Orientation | Show results with:Orientation
Our network is similar to HMA-Net, which improves the performance of semantic segmentation of remote-sensing images by building a mixed multiple attention ...
Missing: Orientation | Show results with:Orientation