SOTAVerified

Visual Localization

Visual Localization is the problem of estimating the camera pose of a given image relative to a visual representation of a known scene.

Source: Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–175 of 402 papers

TitleStatusHype
CrowdDriven: A New Challenging Dataset for Outdoor Visual Localization—0
From 2D to 3D: AISG-SLA Visual Localization Challenge—0
A Robust Stereo Camera Localization Method with Prior LiDAR Map Constrains—0
Leveraging Neural Radiance Fields for Uncertainty-Aware Visual Localization—0
Forming a sparse representation for visual place recognition using a neurorobotic approach—0
Are Large-Scale 3D Models Really Necessary for Accurate Visual Localization?—0
FMRT: Learning Accurate Feature Matching with Reconciliatory Transformer—0
FLORA: Formal Language Model Enables Robust Training-free Zero-shot Object Referring Analysis—0
Leveraging Local and Global Descriptors in Parallel to Search Correspondences for Visual Localization—0
Accurate Vision-based Vehicle Localization using Satellite Imagery—0
CroCoDL: Cross-device Collaborative Dataset for Localization—0
Learning to Predict Repeatability of Interest Points—0
A Real-Time Fusion Framework for Long-term Visual Localization—0
Fast Globally Optimal Surface Normal Estimation from an Affine Correspondence—0
Fast and Robust Feature Matching for RGB-D Based Localization—0
CoPR: Towards Accurate Visual Localization With Continuous Place-descriptor Regression—0
CoordiNet: uncertainty-aware pose regressor for reliable vehicle localization—0
Exosense: A Vision-Based Scene Understanding System For Exoskeletons—0
Appearance-Invariant 6-DoF Visual Localization using Generative Adversarial Networks—0
Evaluating Attribute Confusion in Fashion Text-to-Image Generation—0
Accurate Deep Direct Geo-Localization from Ground Imagery and Phone-Grade GPS—0
Learning Navigation by Visual Localization and Trajectory Prediction—0
End-to-end learning of keypoint detection and matching for relative pose estimation—0
Ego-Motion Alignment from Face Detections for Collaborative Augmented Reality—0
Connecting Visual Experiences using Max-flow Network with Application to Visual Localization—0
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All datasetsOxford Radar RobotCar (Full-6)Aachen Day-Night v1.1 BenchmarkOxford RobotCar FullExtended CMU SeasonsRobotCar Seasons v2

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MapNetMean Translation Error48.21—Unverified
2PointNetVLADMean Translation Error28.48—Unverified
3DCPMean Translation Error18.45—Unverified
4AD-MapNetMean Translation Error18.43—Unverified
5AtLoc+Mean Translation Error17.92—Unverified
6PosePNMean Translation Error16.32—Unverified
7VMLocMean Translation Error15.11—Unverified
8MS-TransformerMean Translation Error11.69—Unverified
9PoseMinkLocMean Translation Error11.2—Unverified
10PosePN++Mean Translation Error10.64—Unverified
#ModelMetricClaimedVerifiedStatus
1GIM-LoFTRAcc@0.25m, 2°79.1—Unverified
2LoFTRAcc@0.25m, 2°78.5—Unverified
3GIM-SuperGlueAcc@0.25m, 2°78—Unverified
4GIM-DKMAcc@0.25m, 2°77—Unverified
5SuperGlueAcc@0.25m, 2°77—Unverified
6SCFeatAcc@0.25m, 2°74.3—Unverified
7DKMAcc@0.25m, 2°70.2—Unverified
#ModelMetricClaimedVerifiedStatus
1AtLocMean Translation Error29.6—Unverified
2MapNet++Mean Translation Error29.5—Unverified
3GNNMapNetMean Translation Error17.35—Unverified
4CoordiNetMean Translation Error14.96—Unverified
5AtLoc+Mean Translation Error13.7—Unverified
6RobustLocMean Translation Error9.37—Unverified
#ModelMetricClaimedVerifiedStatus
1Patch-NetVLADAcc @ .25m, 2°0.12—Unverified
#ModelMetricClaimedVerifiedStatus
1Patch-NetVLADAcc @ .25m, 2°0.1—Unverified