Efficient 3D object detection using noise conditioned score network for accurate votes and object proposals.
Enhancing dense BEV frameworks for accurate 3D object detection with BEVNeXt.
3D 객체 감지에서의 Scaling Adversarial Robustness의 중요성
CN-RMA introduces an innovative approach for 3D indoor object detection from multi-view images, achieving state-of-the-art performance by combining reconstruction and detection networks with occlusion-aware feature aggregation.