3DSAC: Size Adaptive Clustering for 3D object detection in point clouds. Int. J. Appl. Earth Obs. Geoinformation 118: 103231 (2023); 2022. [j3]. view.
May 8, 2024 · Motivated by the observations, we expect point cloud transformers to benefit from hierarchical feature learning strategies [26, 27] , e.g., ...
Missing: 3DSAC: Clustering
... 3D voxels for different categories. The voxel size of each category is adaptive to its average spatial dimension. To maintain the structure of fully ...
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This work introduces a novel approach for 3D object detection that is significant in two main aspects: a cascaded modular approach that focuses the ...
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2024 · iDet3D: Towards Efficient Interactive Object Detection for LiDAR Point Clouds [ det ] · CMDA: Cross-Modal and Domain Adversarial Adaptation for LiDAR-Based ...
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Apr 7, 2024 · It incorporates the prediction of the internal spatial distribution information of foreground objects in the first stage, thereby achieving high ...
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