Papers with Code 아카이브

Birds Eye View Object Detection

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

하위 태스크: 0
평가표: 22
보존된 평가 기록: 63

KITTI birds eye view detection task

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/aviros/roatationPointnet

VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection

https://github.com/ben0110/Frustum_pointnet_2D

Frustum PointNets for 3D Object Detection from RGB-D Data

https://github.com/ben0110/Radar-Pointnet-PARA

Frustum PointNets for 3D Object Detection from RGB-D Data

https://github.com/ben0110/frustum-pointnets_RSC_RADAR_fil_PC_batch_para

Frustum PointNets for 3D Object Detection from RGB-D Data

https://github.com/bostondiditeam/MV3D

Multi-View 3D Object Detection Network for Autonomous Driving

https://github.com/brbzjl/pointnet2

Frustum PointNets for 3D Object Detection from RGB-D Data

https://github.com/bt77/pointnet

VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection

https://github.com/charlesq34/pointnet

Frustum PointNets for 3D Object Detection from RGB-D Data

https://github.com/charlesq34/pointnet2

Frustum PointNets for 3D Object Detection from RGB-D Data

https://github.com/chonepieceyb/reading-frustum-pointnets-code

Frustum PointNets for 3D Object Detection from RGB-D Data

https://github.com/coconutzs/PointNet_zs

VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection

https://github.com/code-implementation1/Code5/tree/main/ms_rcnn

PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection

https://github.com/code-implementation1/Code6/tree/main/pointpillars

Sparse PointPillars: Maintaining and Exploiting Input Sparsity to Improve Runtime on Embedded Systems

https://github.com/code-implementation1/Code7/tree/main/rcnn

PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection

https://github.com/code-implementation1/Code9/tree/main/PointNet2

Frustum PointNets for 3D Object Detection from RGB-D Data

https://github.com/dannofield/CarND-Extended-Kalman-Filter

VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection

https://github.com/dwtstore/sfm1

VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection

https://github.com/eduardohenriquearnold/coop-3dod-infra

VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection

https://github.com/hongru-seu/PointPilliar

PointPillars: Fast Encoders for Object Detection from Point Clouds

https://github.com/houseleo/pointnet

Frustum PointNets for 3D Object Detection from RGB-D Data

https://github.com/hova88/Lidardet

PointPillars: Fast Encoders for Object Detection from Point Clouds

https://github.com/hova88/PointPillars_MultiHead_40FPS

PointPillars: Fast Encoders for Object Detection from Point Clouds

https://github.com/hy-signal/VoxelNet

VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection

https://github.com/isl-org/Open3D-ML

PointPillars: Fast Encoders for Object Detection from Point Clouds

https://github.com/jediofgever/PointNet_Custom_Object_Detection

VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection

https://github.com/jhultman/PV-RCNN

PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection

https://github.com/kargarisaac/3d-MNIST-classification-PointNet

VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection

https://github.com/kargarisaac/PointNet-SemSeg-VKITTI3D

VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection

https://github.com/krullgit/realsense_3d_detection

PointPillars: Fast Encoders for Object Detection from Point Clouds

https://github.com/kujason/ip_basic

Joint 3D Proposal Generation and Object Detection from View Aggregation

https://github.com/lingzhang1/pointnet_tensorflow

VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection

https://github.com/llzlcl/pointcloud-segment

Frustum PointNets for 3D Object Detection from RGB-D Data

https://github.com/mileyan/pseudo-LiDAR_e2e

PIXOR: Real-time 3D Object Detection from Point Clouds

https://github.com/nvidia-ai-iot/lidar_ai_solution

PointPillars: Fast Encoders for Object Detection from Point Clouds

https://github.com/open-mmlab/mmdetection3d

PointPillars: Fast Encoders for Object Detection from Point Clouds

https://github.com/qianguih/voxelnet

VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.