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 201210 of 304 papers

TitleStatusHype
Sampling Based Scene-Space Video Processing0
Progressive Correspondence Pruning by Consensus LearningCode1
VaPiD: A Rapid Vanishing Point Detector via Learned Optimizers0
PoGO-Net: Pose Graph Optimization With Graph Neural NetworksCode1
Towards Accurate Active Camera LocalizationCode1
Learnable Motion Coherence for Correspondence Pruning0
Benchmarking Image Retrieval for Visual LocalizationCode1
DeepMorph: A System for Hiding Bitstrings in Morphable Vector Drawings0
P1AC: Revisiting Absolute Pose From a Single Affine CorrespondenceCode1
Can You Trust Your Pose? Confidence Estimation in Visual Localization0
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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