https://github.com/airalcorn2/paved2paradise
PointPillars: Fast Encoders for Object Detection from Point Clouds
Papers with Code 아카이브
3D Object Detection
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3D Object Detection is a task in computer vision where the goal is to identify and locate objects in a 3D environment based on their shape, location, and orientation. It involves detecting the presence of objects and determining their location in the 3D space in real-time. This task is crucial for applications such as autonomous vehicles, robotics, and augmented reality.
<span style="color:grey; opacity: 0.6">( Image credit: AVOD )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/alcaster/Binary-yolo
https://github.com/alexismailov2/darknet
https://github.com/alia21/VechicleDetection-and-Traccking
https://github.com/allanzelener/YAD2K
https://github.com/alpemek/ais3d
https://github.com/aminekha/AI-For-2022
https://github.com/anishreddy3/Autonomous-driving-application-car-detection
https://github.com/ankitAMD/Darkflow-object-detection
https://github.com/annabellachen/newDarknet
https://github.com/anonymous2020new/iffDetector
https://github.com/anookeen/yolo
https://github.com/anshulpaigwar/Frustum-Pointpillars
https://github.com/apacha/musicobjectdetector-tf
https://github.com/apple/ml-cubifyanything
https://github.com/arashjavan/deeplio
PointSeg: Real-Time Semantic Segmentation Based on 3D LiDAR Point Cloud
https://github.com/arbaza/3D-object-detection-KITTI
https://github.com/artxtech/darknet-rnn
https://github.com/artynet/darknet-alexeyAB
https://github.com/asharakeh/kitti_native_evaluation
Joint 3D Proposal Generation and Object Detection from View Aggregation
https://github.com/asvath/mobile_robotics
https://github.com/augcog/dttdv1
Robust 6DoF Pose Estimation Against Depth Noise and a Comprehensive Evaluation on a Mobile Dataset
https://github.com/avanetten/yolt
https://github.com/aviros/pointnet_totations
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
https://github.com/aviros/roatationPointnet
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
https://github.com/ayush111111/cone_keypoint_regression
https://github.com/ayushpalak/darknet_cokebottles
https://github.com/ayushpalak/darknet_multi_cokebottles
https://github.com/backSpace001/PMR_WEB_APP1.0
https://github.com/beltransen/lidar_bev
BirdNet: a 3D Object Detection Framework from LiDAR information
https://github.com/ben0110/Frustum_pointnet_2D
https://github.com/ben0110/Radar-Pointnet-PARA
https://github.com/ben0110/frustum-pointnets_RSC_RADAR_fil_PC_batch_para
https://github.com/benjamintli/darknet-gun-detector
https://github.com/benjamintli/training-results-azure
https://github.com/bharatsush/object_detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.