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
Back to the Feature: Learning Robust Camera Localization from Pixels to PoseCode1
Enhancing Scene Coordinate Regression with Efficient Keypoint Detection and Sequential InformationCode1
CaSPR: Learning Canonical Spatiotemporal Point Cloud RepresentationsCode1
HM3D-ABO: A Photo-realistic Dataset for Object-centric Multi-view 3D ReconstructionCode1
Benchmarking Image Retrieval for Visual LocalizationCode1
CubeSLAM: Monocular 3D Object SLAMCode1
Human Mesh Recovery from Arbitrary Multi-view ImagesCode1
ManhattanSLAM: Robust Planar Tracking and Mapping Leveraging Mixture of Manhattan FramesCode1
GS-EVT: Cross-Modal Event Camera Tracking based on Gaussian SplattingCode1
Deep Keypoint-Based Camera Pose Estimation with Geometric ConstraintsCode1
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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