SOTAVerified

Camera Pose Estimation

Camera pose estimation is a crucial task in computer vision and robotics that involves determining the position and orientation (pose) of a camera relative to a given reference frame. This task is essential for various applications, such as augmented reality, 3D reconstruction, SLAM, and autonomous navigation.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 271–280 of 304 papers

TitleStatusHype
Benchmarking 6DOF Outdoor Visual Localization in Changing ConditionsCode0
Robust Two-View Geometry Estimation with Implicit DifferentiationCode0
EgoCOL: Egocentric Camera pose estimation for Open-world 3D object Localization @Ego4D challenge 2023Code0
Region contrastive camera localizationCode0
RPNet: an End-to-End Network for Relative Camera Pose EstimationCode0
Unsupervised Learning of 3D Scene Flow from Monocular CameraCode0
AEPnP: A Less-constrained EPnP Solver for Pose Estimation with Anisotropic ScalingCode0
Unsupervised Learning of Depth and Ego-Motion from VideoCode0
Domain Adaptation of Networks for Camera Pose Estimation: Learning Camera Pose Estimation Without Pose LabelsCode0
Real-Time RGB-D Camera Pose Estimation in Novel Scenes using a Relocalisation CascadeCode0
Show:102550
← PrevPage 28 of 31Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Monodepth2Average Translational Error et[%]43.21—Unverified
2SfMLearnerAverage Translational Error et[%]29.78—Unverified
3GeoNetAverage Translational Error et[%]26.31—Unverified
4SC-DepthAverage Translational Error et[%]12.2—Unverified
5DeepMatchVOAverage Translational Error et[%]11.05—Unverified
6SCIPaDAverage Translational Error et[%]8.63—Unverified
7Manydepth2Average Translational Error et[%]7.15—Unverified