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 251260 of 304 papers

TitleStatusHype
FishNet: A Camera Localizer using Deep Recurrent NetworksCode0
Trifocal Relative Pose from Lines at Points and its Efficient SolutionCode0
Understanding the Limitations of CNN-based Absolute Camera Pose RegressionCode0
Privacy Preserving Image-Based Localization0
Zero-Shot Task TransferCode0
Beyond Photometric Loss for Self-Supervised Ego-Motion EstimationCode0
The Alignment of the Spheres: Globally-Optimal Spherical Mixture Alignment for Camera Pose Estimation0
Indoor GeoNet: Weakly Supervised Hybrid Learning for Depth and Pose Estimation0
Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose EstimationCode0
Real-Time RGB-D Camera Pose Estimation in Novel Scenes using a Relocalisation CascadeCode0
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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