FrustumFormer: Adaptive Instance-aware Resampling for Multi-view 3D Detection
Author:
Affiliation:
1. Institute of Automation, Chinese Academy of Sciences (CASIA),CRIPAC
2. HKISI_CAS,Centre for Artificial Intelligence and Robotics
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10203037/10203050/10204222.pdf?arnumber=10204222
Reference46 articles.
1. PolarFormer: Multi-Camera 3D Object Detection with Polar Transformer
2. FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection
3. Bevdet: High-performance multi-camera 3d object detection in bird-eye-view;huang;ArXiv Preprint,2021
4. Probabilistic and geometric depth: Detecting objects in perspective;wang;CoRL,2022
5. An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection
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1. MCFP: A multi-target 3D perception method with weak dependence on 2D detectors;Pattern Recognition Letters;2024-02
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