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 201–210 of 304 papers

TitleStatusHype
CrossLocate: Cross-modal Large-scale Visual Geo-Localization in Natural Environments using Rendered ModalitiesCode0
MS2DG-Net: Progressive Correspondence Learning via Multiple Sparse Semantics Dynamic GraphCode0
Domain Adaptation of Networks for Camera Pose Estimation: Learning Camera Pose Estimation Without Pose LabelsCode0
AI-supported Framework of Semi-Automatic Monoplotting for Monocular Oblique Visual Data Analysis—0
Video Autoencoder: self-supervised disentanglement of static 3D structure and motion—0
S3LAM: Structured Scene SLAM—0
Reassessing the Limitations of CNN Methods for Camera Pose Regression—0
Self-supervised Learning of Occlusion Aware Flow Guided 3D Geometry Perception with Adaptive Cross Weighted Loss from Monocular Videos—0
Efficient Large Scale Inlier Voting for Geometric Vision Problems—0
Uncertainty-Aware Camera Pose Estimation from Points and Lines—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