https://github.com/pjlab-adg/openpcseg
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
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/pjlab-adg/pcseg
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
https://github.com/pmh47/o3v
Unsupervised object-centric video generation and decomposition in 3D
https://github.com/poodarchu/Det3D
Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection
https://github.com/pranavmvp/Crowd-Density-Estimator-via-Object-Detection
https://github.com/preste-ai/camera_ai_whiteboard
https://github.com/preste-nakam/AI_whiteboard
https://github.com/pritish-mahajan/Apricitas
https://github.com/pwc-1/Paper-9/tree/main/7/PolyLoss
PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions
https://github.com/qianguih/voxelnet
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
https://github.com/qq456cvb/VoteNet
https://github.com/qwer10/CarDetection
https://github.com/rahul1728jha/Object_Detection_Yolov2
https://github.com/rajathik/ObjectDetection
https://github.com/rasd3/3d-cvf
https://github.com/refkxh/DUSA
CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers
https://github.com/rickyHong/DeepOcclustion-repl
Deep Occlusion Reasoning for Multi-Camera Multi-Target Detection
https://github.com/rnirdhar/yoloMultiClass
https://github.com/rnirdhar/yoloTestOneClass
https://github.com/robin-ex/TokenFusion
https://github.com/rocapal/fish_detection
https://github.com/rootAkash/vision.ai
https://github.com/rudraina/Face-Verification-And-Validation
https://github.com/ruhyadi/YOLO3D
https://github.com/ruhyadi/yolo3d-lightning
https://github.com/ryosuke-yamada/3dfractaldb
https://github.com/ryubidragonfire/mydarknet
https://github.com/s1r2ikanth/Atunomous-Driving-Application--For-Car-detection
https://github.com/saber2011/darknet
https://github.com/sadicLiu/darknet
https://github.com/saednasir/Helmet_Yolo
https://github.com/samson6460/tf2_YOLO
https://github.com/samsonadmin/modified-alexeyab-darknet
https://github.com/sanjeewk/ppnet
PointPillars: Fast Encoders for Object Detection from Point Clouds
https://github.com/santhisenan/car-detection-using-yolov2
https://github.com/saurabh241930/yolo_v2_tensorflow
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.