Enhancing Multi-View 3D Object Detection with a Sampling-Adaptive Network of Continuous NeRF-based Representation

The proposed NeRF-DetS method enhances multi-view 3D object detection by introducing a Multi-level Sampling-Adaptive Network and a Multi-head Weighted Fusion approach to effectively leverage the continuous representation and multi-view information provided by the NeRF branch.