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Found 3 papers, 2 papers with code
3D Point Cloud Compression with Recurrent Neural Network and Image Compression Methods
Transforming the raw point cloud data into a dense 2D matrix structure is a promising way for applying compression algorithms.
MultiCorrupt: A Multi-Modal Robustness Dataset and Benchmark of LiDAR-Camera Fusion for 3D Object Detection
Multi-modal 3D object detection models for automated driving have demonstrated exceptional performance on computer vision benchmarks like nuScenes.
Explainable Multi-Camera 3D Object Detection with Transformer-Based Saliency Maps
Vision Transformers (ViTs) have achieved state-of-the-art results on various computer vision tasks, including 3D object detection.
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