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 6170 of 304 papers

TitleStatusHype
HM3D-ABO: A Photo-realistic Dataset for Object-centric Multi-view 3D ReconstructionCode1
Self-Supervised Learning of Image Scale and OrientationCode1
FvOR: Robust Joint Shape and Pose Optimization for Few-view Object ReconstructionCode1
Self-Supervised Equivariant Learning for Oriented Keypoint DetectionCode1
Bimodal Camera Pose Prediction for EndoscopyCode1
DFNet: Enhance Absolute Pose Regression with Direct Feature MatchingCode1
ScaleNet: A Shallow Architecture for Scale EstimationCode1
ALIKE: Accurate and Lightweight Keypoint Detection and Descriptor ExtractionCode1
BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric ReasoningCode1
AirDOS: Dynamic SLAM benefits from Articulated ObjectsCode1
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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