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Multi-View 3D Object Detection Network
The Multi-View 3D Object Detection Network is a dataset for 3D object detection, consisting of 3D point clouds and corresponding annotations. -
KITTI Benchmark Suite
The KITTI benchmark suite is a large-scale dataset for 3D object detection, consisting of 7,481 training samples and 7,518 test samples. -
3D Data Augmentation for Driving Scenes on Camera
Driving scenes are extremely diverse and complicated that it is impossible to collect all cases with human effort alone. While data augmentation is an effective technique to... -
KITTI dataset
The dataset used in the paper is the KITTI dataset, which is a benchmark for monocular depth estimation. The dataset consists of a large collection of images and corresponding... -
SPADE: Sparse Pillar-based 3D Object Detection
3D object detection using point cloud (PC) data is essential for perception pipelines of autonomous driving, where efficient encoding is key to meeting stringent resource and... -
KITTI 2015
The KITTI 2015 dataset is a real-world dataset of street views, containing 200 training stereo image pairs with sparsely labeled disparity from LiDAR data.