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

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Showing 211–220 of 304 papers

TitleStatusHype
Feature-Level Collaboration: Joint Unsupervised Learning of Optical Flow, Stereo Depth and Camera Motion—0
Visual Correspondence Hallucination—0
TransCamP: Graph Transformer for 6-DoF Camera Pose Estimation—0
3D-Aware Ellipse Prediction for Object-Based Camera Pose EstimationCode0
Soft Expectation and Deep Maximization for Image Feature DetectionCode0
Fusing the Old with the New: Learning Relative Camera Pose with Geometry-Guided Uncertainty—0
Pose-GNN : Camera Pose Estimation System Using Graph Neural Networks—0
Sampling Based Scene-Space Video Processing—0
VaPiD: A Rapid Vanishing Point Detector via Learned Optimizers—0
Learnable Motion Coherence for Correspondence Pruning—0
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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