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 101110 of 304 papers

TitleStatusHype
Robust Two-View Geometry Estimation with Implicit DifferentiationCode0
Render-and-Compare: Cross-View 6 DoF Localization from Noisy PriorCode0
Benchmarking 6DOF Outdoor Visual Localization in Changing ConditionsCode0
Region contrastive camera localizationCode0
Relative Camera Pose Estimation Using Convolutional Neural NetworksCode0
RPNet: an End-to-End Network for Relative Camera Pose EstimationCode0
FishNet: A Camera Localizer using Deep Recurrent NetworksCode0
Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose EstimationCode0
ACNe: Attentive Context Normalization for Robust Permutation-Equivariant LearningCode0
Computing CNN Loss and Gradients for Pose Estimation with Riemannian GeometryCode0
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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