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

Showing 5160 of 304 papers

TitleStatusHype
EVLoc: Event-based Visual Localization in LiDAR Maps via Event-Depth RegistrationCode1
RePoseD: Efficient Relative Pose Estimation With Known Depth InformationCode1
Towards Accurate Active Camera LocalizationCode1
Enhancing Scene Coordinate Regression with Efficient Keypoint Detection and Sequential InformationCode1
Benchmarking Image Retrieval for Visual LocalizationCode1
CubeSLAM: Monocular 3D Object SLAMCode1
CaSPR: Learning Canonical Spatiotemporal Point Cloud RepresentationsCode1
Event-based Stereo Visual OdometryCode1
Level-S^2fM: Structure from Motion on Neural Level Set of Implicit SurfacesCode1
Learning to Filter Outlier Edges in Global SfMCode1
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Benchmark Results

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