3D Object Detection Comparison Hub
3 papers - avg viability 7.0
Top Papers
- On the Feasibility and Opportunity of Autoregressive 3D Object Detection(7.0)
AutoReg3D is an autoregressive 3D object detector that simplifies training and improves extensibility by casting detection as sequence generation, offering a flexible alternative to traditional LiDAR-based methods.
- Fusion4CA: Boosting 3D Object Detection via Comprehensive Image Exploitation(7.0)
Fusion4CA enhances 3D object detection by fully exploiting visual input in BEVFusion, offering improved accuracy and efficiency for autonomous driving systems.
- Multi-Modal Decouple and Recouple Network for Robust 3D Object Detection(7.0)
Improve the robustness of multi-modal 3D object detection systems by decoupling and recoupling features to handle data corruption, offering a more reliable perception solution for autonomous vehicles and robotics.