The main idea is to make explicit the compromise between local and global consistency in the context of hierarchical reasoning by means of consecutive levels of ...
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A hierarchical framework for robust extraction and delineation of geometric features. September 1993 · Pattern Recognition. Jean-Michel ...
A Hierarchical Framework For Robust Extraction And Delineation Of Geometric Features, PR(26), 1993, pp. 1295-1304. BibRef · Bigun, J., Unsupervised Feature ...
Aug 28, 2022 · A Hierarchical Feature Extraction Network (HFENet) model is proposed, which includes HFE and MFF modules. First, the HFE strategy is used to ...
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A hierarchical framework for robust extraction and delineation of geometric features. September 1993 · Pattern Recognition. Jean-Michel Jolion.
Jan 22, 2024 · A novel local graph pooling operation is introduced, enabling the streamlined extraction of local geometric features. Notably, this operation ...
To extract land-use information from image data a hierarchical approach with three levels is required, with image objects at the elementary level,.
A semantic segmentation framework with UNet-pyramid for landslide ...
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Dec 3, 2024 · This study proposes a novel landslide detection methodology that is automated and based on a hybrid deep learning approach.
Jun 26, 2021 · We propose a scalable iterative pipeline (in terms of computational cost, required main memory and robustness) that extracts an annotated abstract graph ...