SALA: Soft Assignment Local Aggregation for 3D Semantic Segmentation

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Abstract:

We introduce the idea of using learnable neighbor-to-grid soft assignment in grid-based aggregation functions for the task of 3D semantic segmentation. Previous methods in literature operate on a predefined geometric grid such as local volume partitions or irregular kernel points. These methods use geometric functions to assign local ne...More

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