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6D Pose Estimation Using Rgbd On Ycb Video

Métriques

Mean ADD

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle
Mean ADD
Paper TitleRepository
PoseCNN (ICP)79.3PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes-
RCVPose-Vote from the Center: 6 DoF Pose Estimation in RGB-D Images by Radial Keypoint Voting-
MaskedFusion93.3MaskedFusion: Mask-based 6D Object Pose Estimation-
CMCL6D95.43Enhancing 6-DoF Object Pose Estimation through Multiple Modality Fusion: A Hybrid CNN Architecture with Cross-Layer and Cross-Modal Integration
PVN3D-PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation-
PoseCNN + DeepIM80.6DeepIM: Deep Iterative Matching for 6D Pose Estimation-
RCVPose+ICP-Vote from the Center: 6 DoF Pose Estimation in RGB-D Images by Radial Keypoint Voting-
ALL PoseCNN+ICP-PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes-
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6D Pose Estimation Using Rgbd On Ycb Video | SOTA | HyperAI