6D Pose Estimation Using Rgbd On Linemod

Metrics

Mean ADD

Mean IoU

Results

Performance results of various models on this benchmark

			Paper Title
RCVPose+ICP	99.7	-	Vote from the Center: 6 DoF Pose Estimation in RGB-D Images by Radial Keypoint Voting
RCVPose	99.4	-	Vote from the Center: 6 DoF Pose Estimation in RGB-D Images by Radial Keypoint Voting
PVN3D	99.4	-	PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation
MaskedFusion	97.8	-	MaskedFusion: Mask-based 6D Object Pose Estimation
DeepFusion	94.3	-	DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
SSD-6D	90.9	96.5	SSD-6D: Making RGB-based 3D detection and 6D pose estimation great again
Augmented Autoencoder	64.67	-	Implicit 3D Orientation Learning for 6D Object Detection from RGB Images
W-PoseNet	-	-	W-PoseNet: Dense Correspondence Regularized Pixel Pair Pose Regression

0 of 8 row(s) selected.

6D Pose Estimation Using Rgbd On Linemod

Metrics

Mean ADD

Mean IoU

Results

Performance results of various models on this benchmark

			Paper Title
RCVPose+ICP	99.7	-	Vote from the Center: 6 DoF Pose Estimation in RGB-D Images by Radial Keypoint Voting
RCVPose	99.4	-	Vote from the Center: 6 DoF Pose Estimation in RGB-D Images by Radial Keypoint Voting
PVN3D	99.4	-	PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation
MaskedFusion	97.8	-	MaskedFusion: Mask-based 6D Object Pose Estimation
DeepFusion	94.3	-	DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
SSD-6D	90.9	96.5	SSD-6D: Making RGB-based 3D detection and 6D pose estimation great again
Augmented Autoencoder	64.67	-	Implicit 3D Orientation Learning for 6D Object Detection from RGB Images
W-PoseNet	-	-	W-PoseNet: Dense Correspondence Regularized Pixel Pair Pose Regression

0 of 8 row(s) selected.

6D Pose Estimation Using Rgbd On Linemod | SOTA | HyperAI