CenterAtt: Fast 2-stage Center Attention Network
Not on the map. Why?
Abstract (arXiv)
In this technical report, we introduce the methods of HIKVISION_LiDAR_Det in the challenge of waymo open dataset real-time 3D detection. Our solution for the competition are built upon Centerpoint 3D detection framework. Several variants of CenterPoint are explored, including center attention head and feature pyramid network neck. In order to achieve real time detection, methods like batchnorm merge, half-precision floating point network and GPU-accelerated voxelization process are adopted. By using these methods, our team ranks 6th among all the methods on real-time 3D detection challenge in the waymo open dataset.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 3 of its 4 references that are in the map. First posted on arXiv 19 Jun 2021.
Builds on
3 of 4 references.
References · 3
- 2016Feature Pyramid Networks for Object Detectioncited by 5,036
- 2019Scalability in Perception for Autonomous Driving: Waymo Open Datasetcited by 2,451
- 2020Center-based 3D Object Detection and Trackingcited by 1,144
Built on by
Citing papers per year: 2021: 1; 2022: 3; 2023: 1.
5 papers.
- 2022PillarNet: Real-Time and High-Performance Pillar-based 3D Object Detectioncited by 99
- 2021AFDetV2: Rethinking the Necessity of the Second Stage for Object Detection from Point Cloudscited by 88
- 2022INT: Towards Infinite-frames 3D Detection with An Efficient Frameworkcited by 14
- 2022Boosting Single-Frame 3D Object Detection by Simulating Multi-Frame Point Cloudscited by 6
- 2023Pillar R-CNN for Point Cloud 3D Object Detectioncited by 2
- 2023Pillar R-CNN for Point Cloud 3D Object Detection26 Feb 2023
- 2022INT: Towards Infinite-frames 3D Detection with An Efficient Framework30 Sep 2022
- 2022Boosting Single-Frame 3D Object Detection by Simulating Multi-Frame Point Clouds3 Jul 2022
- 2022PillarNet: Real-Time and High-Performance Pillar-based 3D Object Detection16 May 2022
- 2021AFDetV2: Rethinking the Necessity of the Second Stage for Object Detection from Point Clouds16 Dec 2021