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/LinZhuoChen/pointnet2_multi_gpu

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

https://github.com/Lw510107/PointNet

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

https://github.com/Lw510107/pointnet-2018.6.27-

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

https://github.com/MS-Mind/MS-Code-06/tree/main/pointpillars

https://github.com/MikeS96/3d_obj_detection

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

https://github.com/Mind23-2/MindCode-5/tree/main/pointpillars

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

https://github.com/MindSpore-paper-code-2/code2/tree/main/pointpillars

PointPillars: Fast Encoders for Object Detection from Point Clouds

https://github.com/MindSpore-paper-code-3/code10/tree/main/frustum-pointnet

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

https://github.com/MindSpore-paper-code-3/code6/tree/main/CascadeRCNN

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

https://github.com/MindSpore-paper-code-3/code7/tree/main/frustum-pointnet

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

https://github.com/ModelBunker/PointNet-TensorFlow

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

https://github.com/PaddlePaddle/Paddle3D

PointPillars: Fast Encoders for Object Detection from Point Clouds

https://github.com/RPFey/frustum-pointnets

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

https://github.com/RishiTejaMadduri/VoxelNet_PyTorch

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

https://github.com/SEU-SRTP-GROUP/frustum-pointnet-original

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

https://github.com/SSN15/Behavioral-Cloning--Implementaion-of-Autonomous-car-using-deep-learning

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

https://github.com/SmallMunich/nutonomy_pointpillars

PointPillars: Fast Encoders for Object Detection from Point Clouds

https://github.com/Smiler-Jin/frustum_pointnet

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

https://github.com/TUMFTM/RadarVoxelFusionNet

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

https://github.com/Uuuuuuho/Pillar_on_SoC

PointPillars: Fast Encoders for Object Detection from Point Clouds

https://github.com/VaanHUANG/CSCI5210HW1

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

https://github.com/Veincore/f-pointnet

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

https://github.com/WordBearerYI/VoxelNet-pytorch

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

https://github.com/Yang2446/pointnet

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

https://github.com/Yc174/frustum-pointnets

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

https://github.com/YiruS/pointnet_adversarial

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

https://github.com/ZhihaoZhu/PointNet-Implementation-Tensorflow

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

https://github.com/aaronfriedman6/MV3D_VoxelNet

Multi-View 3D Object Detection Network for Autonomous Driving

https://github.com/abdullahozer11/Segmentation-and-Classification-of-Objects-in-Point-Clouds

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

https://github.com/ahmed-anas/thesis-pointnet

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

https://github.com/airalcorn2/paved2paradise

PointPillars: Fast Encoders for Object Detection from Point Clouds

https://github.com/alpemek/ais3d

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

https://github.com/anshulpaigwar/Frustum-Pointpillars

https://github.com/arbaza/3D-object-detection-KITTI

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

https://github.com/asharakeh/kitti_native_evaluation

Joint 3D Proposal Generation and Object Detection from View Aggregation

https://github.com/aviros/pointnet_totations

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.