https://github.com/cxt98/Densefusion-transparency
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
Papers with Code 아카이브
6D Pose Estimation using RGBD
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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- 보존된 평가 기록
- 35
Image: Zeng et al
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/edavalosanaya/FastPoseCNN
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation
https://github.com/ethnhe/FFB6D
PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation
https://github.com/hz-ants/DenseFusion
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
https://github.com/hz-ants/FFB6D
PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation
https://github.com/hz-ants/Posecnn
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
https://github.com/hz-ants/apc-vision-toolbox
Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking Challenge
https://github.com/hz-ants/cosypose-Base-on-multi-view
https://github.com/ibaiGorordo/ONNX-CenterSnap-6D-Pose-and-Shape-Estimation
https://github.com/interactivegl/vision6d
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation
https://github.com/j96w/DenseFusion
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
https://github.com/leob03/E2E_Object_Pose_Estimator
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
https://github.com/lh641446825/NOCS_2019CVPR
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation
https://github.com/liyi14/mx-DeepIM
https://github.com/lolrudy/kp-red
GPV-Pose: Category-level Object Pose Estimation via Geometry-guided Point-wise Voting
https://github.com/lolrudy/rbp_pose
GPV-Pose: Category-level Object Pose Estimation via Geometry-guided Point-wise Voting
https://github.com/nv-nguyen/pizza
https://github.com/pairlab/6pack
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation
https://github.com/sahithchada/NOCS_PyTorch
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation
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/varunburde/reconstruction_pose_benchmark
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
https://github.com/verityw/manipulation-final-project
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
https://github.com/wadimkehl/ssd-6d
SSD-6D: Making RGB-based 3D detection and 6D pose estimation great again
https://github.com/wangzihanggg/CMCL6D
https://github.com/ykzzyk/vision6d
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation
https://github.com/ylabbe/cosypose
https://github.com/yuxng/PoseCNN
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
https://github.com/zubair-irshad/CenterSnap
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.