ConQueR: Query Contrast Voxel-DETR for 3D Object Detection

Author:

Zhu Benjin1,Wang Zhe1,Shi Shaoshuai2,Xu Hang3,Hong Lanqing3,Li Hongsheng1

Affiliation:

1. The Chinese University of Hong Kong,Multimedia Laboratory

2. Max Planck Institute for Informatics

3. Huawei Noah's Ark Lab

Publisher

IEEE

Reference57 articles.

1. Deep Residual Learning for Image Recognition

2. Deformable detr: Deformable transformers for end-to-end object detection;zhu;ICLRE,2020

3. Momentum contrast for unsupervised visual rep-resentation learning;he;CVPR,2020

4. Autoassign: Differ-entiable label assignment for dense object detection;zhu;ArXiv,2020

5. AFDetV2: Rethinking the Necessity of the Second Stage for Object Detection from Point Clouds

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1. LGNet: Local and global point dependency network for 3D object detection;Pattern Recognition;2024-10

2. NIV-SSD: Neighbor IoU-voting single-stage object detector from point cloud;Neurocomputing;2024-09

3. Not all points are balanced: Class balanced single-stage outdoor multi-class 3D object detector from point clouds;International Journal of Applied Earth Observation and Geoinformation;2024-04

4. DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

5. PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

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