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/Vegeta2020/CIA-SSD

공식 코드

CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud

https://github.com/Vegeta2020/SE-SSD

공식 코드

SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud

https://github.com/charlesq34/frustum-pointnets

공식 코드

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

https://github.com/kujason/avod

공식 코드

Joint 3D Proposal Generation and Object Detection from View Aggregation

https://github.com/kylevedder/SparsePointPillars

공식 코드

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

https://github.com/ldtho/pifenet

공식 코드

Accurate and Real-time 3D Pedestrian Detection Using an Efficient Attentive Pillar Network

https://github.com/nutonomy/second.pytorch

공식 코드

PointPillars: Fast Encoders for Object Detection from Point Clouds

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

공식 코드

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

https://gitee.com/gai-shaoyan/mind3d

PointPillars: Fast Encoders for Object Detection from Point Clouds

https://github.com/2023-MindSpore-1/ms-code-214/tree/main/frustum-pointnet

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

https://github.com/2023-MindSpore-1/ms-code-215/tree/main/pointpillars

PointPillars: Fast Encoders for Object Detection from Point Clouds

https://github.com/2023-MindSpore-1/ms-code-220/tree/main/textrcnn

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

https://github.com/2023-MindSpore-1/ms-code-6/tree/main/CascadeRCNN

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

https://github.com/2023-MindSpore-4/Code9/tree/main/PointNet2

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

https://github.com/AlvesRobot/Deep-Learning-on-Point-Cloud-for-3D-Classification-and-Segmentation

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

https://github.com/BPMJG/annotated-F-pointnet

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

https://github.com/BPMJG/annotated_pointnet

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

https://github.com/CarloSgaravatti/HybridLateCascadeFusion

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

https://github.com/CuberrChen/VoxelNet

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

https://github.com/DerrickXuNu/OpenCOOD

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

https://github.com/FlowWind1999/pointnet-2

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

https://github.com/Fredrik00/avod

Joint 3D Proposal Generation and Object Detection from View Aggregation

https://github.com/Harut0726/my-pointnet-tensorflow

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

https://github.com/Heedeok/frustum-pointnets-rgbd

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

https://github.com/KPeng9510/MASS

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

https://github.com/KaidongLi/tf-3d-alpha

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

https://github.com/KangchengLiu/FAC_Foreground_Aware_Contrast

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

https://github.com/KangchengLiu/RM3D

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

https://github.com/KhusDM/PointNetTree

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

https://github.com/KiranAkadas/My_Pointnet_v2

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

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

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

https://github.com/LKLQQ/pointpillars

PointPillars: Fast Encoders for Object Detection from Point Clouds

https://github.com/LONG-9621/Extract_Point_3D

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

https://github.com/LONG-9621/PointNet

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

https://github.com/LONG-9621/PointNet-

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

https://github.com/LebronGG/PointNet

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.