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

Showing 251275 of 402 papers

TitleStatusHype
Soft Expectation and Deep Maximization for Image Feature DetectionCode0
LaLaLoc: Latent Layout Localisation in Dynamic, Unvisited EnvironmentsCode1
BARF: Bundle-Adjusting Neural Radiance FieldsCode1
Localization of Autonomous Vehicles: Proof of Concept for A Computer Vision Approach0
Can audio-visual integration strengthen robustness under multimodal attacks?Code1
End-to-end learning of keypoint detection and matching for relative pose estimation0
LoFTR: Detector-Free Local Feature Matching with TransformersCode1
Learning Multi-Scene Absolute Pose Regression with TransformersCode1
CoordiNet: uncertainty-aware pose regressor for reliable vehicle localization0
How Privacy-Preserving are Line Clouds? Recovering Scene Details from 3D LinesCode1
Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place RecognitionCode1
Sequential Place Learning: Heuristic-Free High-Performance Long-Term Place RecognitionCode1
P2-Net: Joint Description and Detection of Local Features for Pixel and Point MatchingCode1
SeqNet: Learning Descriptors for Sequence-based Hierarchical Place RecognitionCode1
OV^2SLAM : A Fully Online and Versatile Visual SLAM for Real-Time ApplicationsCode1
Grad-CAM guided channel-spatial attention module for fine-grained visual classification0
Kimera: from SLAM to Spatial Perception with 3D Dynamic Scene GraphsCode2
Pose Correction for Highly Accurate Visual Localization in Large-Scale Indoor SpacesCode1
Appearance-Invariant 6-DoF Visual Localization using Generative Adversarial Networks0
Do We Really Need Scene-specific Pose Encoders?0
Towards Accurate Active Camera LocalizationCode1
DenserNet: Weakly Supervised Visual Localization Using Multi-scale Feature AggregationCode1
Patch2Pix: Epipolar-Guided Pixel-Level CorrespondencesCode1
Cross-Descriptor Visual Localization and MappingCode1
RaP-Net: A Region-wise and Point-wise Weighting Network to Extract Robust Features for Indoor LocalizationCode1
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Benchmark Results

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