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/sdu2011/darknet_alexyab
https://github.com/see--/keras-centernet
https://github.com/shamitlal/CoCoNets
https://github.com/shaojiawei07/tocom-tem
https://github.com/shayeree96/Adversial-Attacks-on-densely-fused-point-clouds-for-6D-Pose-Estimation
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
https://github.com/shichaoy/cuboid_detect
https://github.com/shichaoy/matlab_cuboid_detect
https://github.com/shihaibi/MV3D
Multi-View 3D Object Detection Network for Autonomous Driving
https://github.com/shwoo93/minkowskiengine
Generative Sparse Detection Networks for 3D Single-shot Object Detection
https://github.com/skbadhsm/darknet2
https://github.com/skhadem/3D-BoundingBox
https://github.com/skyhehe123/voxelnet-pytorch
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
https://github.com/smallcorgi/3D-Deepbox
https://github.com/soccergame/darknet
https://github.com/solapark/da_yolo
https://github.com/solapark/darknet_interpark
https://github.com/solapark/darknet_partdet
https://github.com/solapark/darknet_partdet_tmp
https://github.com/spiideo/sskit
https://github.com/srinu6/Stereo-3D-Object-Detection-for-Autonomous-Driving
Stereo R-CNN based 3D Object Detection for Autonomous Driving
https://github.com/sshaoshuai/PV-RCNN
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection
https://github.com/sshaoshuai/Pointnet2.PyTorch
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
https://github.com/starfdu1418/scope
Spatio-Temporal Domain Awareness for Multi-Agent Collaborative Perception
https://github.com/stdbreaks/centernet
https://github.com/steph1793/Voxelnet
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
https://github.com/stevenzhou2017/MaskYolo
https://github.com/stevenzhou2017/darknet_AlexeyAB
https://github.com/sudharavali/objectDetectionYOLO
https://github.com/t-hanya/kuzushiji-recognition
https://github.com/taco-group/stamp
V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction
https://github.com/tallysprado/myDarknet
https://github.com/tancik/fpointnets_image_features
https://github.com/tanjeffreyz/yolo-v1
https://github.com/taranjotsingh01/Car-detection-using-YOLO
https://github.com/tdurand/darknet-withtiling
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.