3D detection with PVCNN

3D detection with PVCNN

[NeurIPS 2019 Spotlight] Point-Voxel CNN for Efficient 3D Deep LearningПодробнее

[NeurIPS 2019 Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning

Point Voxel CNN for Efficient 3D Deep Learning, NeurIPS 2019, spotlight presentation.Подробнее

Point Voxel CNN for Efficient 3D Deep Learning, NeurIPS 2019, spotlight presentation.

VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)Подробнее

VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)

3D Object detection using LiDAR Point Cloud, PIXORПодробнее

3D Object detection using LiDAR Point Cloud, PIXOR

Dense voxel fusion for 3D object detectionПодробнее

Dense voxel fusion for 3D object detection

Lidar based 3D Object Detection using PV-RCNNПодробнее

Lidar based 3D Object Detection using PV-RCNN

Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point CloudsПодробнее

Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds

Point-Voxel CNN for Efficient 3D Deep Learning(PVCNN), Zhijian Liu (MIT EECS)Подробнее

Point-Voxel CNN for Efficient 3D Deep Learning(PVCNN), Zhijian Liu (MIT EECS)

Efficient 3D Object and Scene Segmentation with Point-Voxel CNN (on NVIDIA Jetson)Подробнее

Efficient 3D Object and Scene Segmentation with Point-Voxel CNN (on NVIDIA Jetson)

real time 3D object detection solution for everyday objects / python tutorial / mediapipe / NO GPUПодробнее

real time 3D object detection solution for everyday objects / python tutorial / mediapipe / NO GPU

A comprehensive survey of LIDAR-based 3D object detection methods with DL for autonomous drivingПодробнее

A comprehensive survey of LIDAR-based 3D object detection methods with DL for autonomous driving

Focal Sparse Convolutional Networks for 3D Object Detection | CVPR 2022Подробнее

Focal Sparse Convolutional Networks for 3D Object Detection | CVPR 2022

Traffic Monitoring with 3D-Net and YOLOv5 for Object Recognition #ai #computervisionПодробнее

Traffic Monitoring with 3D-Net and YOLOv5 for Object Recognition #ai #computervision

3D Object Localization Using Point CloudsПодробнее

3D Object Localization Using Point Clouds

3D Object Detection using YOLO4 | LiDAR DatasetПодробнее

3D Object Detection using YOLO4 | LiDAR Dataset

mono camera 3D object DetectionПодробнее

mono camera 3D object Detection

CV3DST - 3D Detection, Segmentation and TrackingПодробнее

CV3DST - 3D Detection, Segmentation and Tracking

3D-Net: Single Camera 3D Object Recognition for Traffic Monitoring with YOLOv5Подробнее

3D-Net: Single Camera 3D Object Recognition for Traffic Monitoring with YOLOv5