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A hierarchical set of image segmentations is a set of several image segmentations at different levels of segmentation detail in which the segmentations at coarser levels of detail can be produced from simple merges of regions from segmentations at finer levels of detail.
In this paper, we introduce a concept of hierarchical mesh-based image segmentation for finding object boundaries. In each hierarchical layer, we employ ...
The object boundary of an image plays an important role for image interpretation. In this paper, we introduce a concept of hierarchical mesh-based image ...
Our segmentation algorithm consists of generic machinery for transforming the output of any contour detector into a hierarchical region tree. In this manner, ...
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A hierarchical self-organizing neural network for image segmentation is presented. The Hierarchical Self-Organizing Map (HSOM) is an extension of the ...
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This paper proposes an hierarchical alternative to patch-based representations for vision transformers by integrating superpixels and graph pooling into a ...
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Laion-5b: An open large-scale dataset for training next generation image-text models. Schuhmann et al. NeuRIPS 2022. Sun database: Large-scale scene ...
Dec 6, 2020 · Hierarchical segmentation describes an image at multiscale in which identical pixels are grouped into hierarchies of regions. Tree nodes are ...
Missing: Meshes. | Show results with:Meshes.
Oct 1, 2022 · We propose to integrate a hierarchical segmenter into the recognition process, train and adapt the entire model solely on image-level ...
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Hierarchical Image Segmentation Using a Combined Geometrical and ...
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This paper presents a fully automatic segmentation algorithm based on geometrical and local attributes of color images. This method incorporates a hierarchical ...
Missing: Meshes. | Show results with:Meshes.