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SEED: A Simple and Effective 3D DETR in Point Clouds

SEED is a 3D DETR framework for detecting 3D objects from point clouds. It involves a dual query selection module and a deformable grid attention module.

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Cite this as

Zhe Liu, Jinghua Hou, Xiaoqing Ye, Tong Wang, Jingdong Wang, Xiang Bai (2024). Dataset: SEED: A Simple and Effective 3D DETR in Point Clouds. https://doi.org/10.57702/89d6c19t

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Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Author	Zhe Liu
More Authors	Jinghua Hou Xiaoqing Ye Tong Wang Jingdong Wang Xiang Bai
Homepage	https://github.com/happinesslz/SEED