Changes
On December 2, 2024 at 11:24:46 PM UTC,
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Changed value of field
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toTrue
in Submanifold Sparse Convolutional Networks -
Changed value of field
doi_date_published
to2024-12-02
in Submanifold Sparse Convolutional Networks -
Added resource Original Metadata to Submanifold Sparse Convolutional Networks
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44 | "name": "submanifold-sparse-convolutional-networks", | 44 | "name": "submanifold-sparse-convolutional-networks", | ||
45 | "notes": "Convolutional network are the de-facto standard for | 45 | "notes": "Convolutional network are the de-facto standard for | ||
46 | analysing spatio-temporal data such as images, videos, 3D shapes, etc. | 46 | analysing spatio-temporal data such as images, videos, 3D shapes, etc. | ||
47 | Whilst some of this data is naturally dense (for instance, photos), | 47 | Whilst some of this data is naturally dense (for instance, photos), | ||
48 | many other data sources are inherently sparse. Examples include | 48 | many other data sources are inherently sparse. Examples include | ||
49 | pen-strokes forming on a piece of paper, or (colored) 3D point clouds | 49 | pen-strokes forming on a piece of paper, or (colored) 3D point clouds | ||
50 | that were obtained using a LiDAR scanner or RGB-D camera.", | 50 | that were obtained using a LiDAR scanner or RGB-D camera.", | ||
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87 | { | 128 | { | ||
88 | "display_name": "Sparse Convolutional Networks", | 129 | "display_name": "Sparse Convolutional Networks", | ||
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95 | "display_name": "Submanifold Networks", | 136 | "display_name": "Submanifold Networks", | ||
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102 | "title": "Submanifold Sparse Convolutional Networks", | 143 | "title": "Submanifold Sparse Convolutional Networks", | ||
103 | "type": "dataset", | 144 | "type": "dataset", | ||
104 | "version": "" | 145 | "version": "" | ||
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