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 126–150 of 402 papers

TitleStatusHype
Prompting Segmentation with Sound Is Generalizable Audio-Visual Source LocalizerCode1
Deep Learning for Visual Localization and Mapping: A Survey—0
Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and BeyondCode5
OFVL-MS: Once for Visual Localization across Multiple Indoor ScenesCode1
LDP-Feat: Image Features with Local Differential Privacy—0
KS-APR: Keyframe Selection for Robust Absolute Pose Regression—0
D2S: Representing sparse descriptors and 3D coordinates for camera relocalizationCode1
SACReg: Scene-Agnostic Coordinate Regression for Visual Localization—0
Lazy Visual Localization via Motion Averaging—0
ResMatch: Residual Attention Learning for Local Feature MatchingCode1
Learning Feature Matching via Matchable Keypoint-Assisted Graph Neural Network—0
Locking On: Leveraging Dynamic Vehicle-Imposed Motion Constraints to Improve Visual Localization—0
LightGlue: Local Feature Matching at Light SpeedCode4
S2LD: Sparse-to-Local-Dense Matching for Geometry-Guided Correspondence EstimationCode1
Yes, we CANN: Constrained Approximate Nearest Neighbors for local feature-based visual localizationCode0
Pentagon-Match (PMatch): Identification of View-Invariant Planar Feature for Local Feature Matching-Based Homography Estimation—0
Illumination-insensitive Binary Descriptor for Visual Measurement Based on Local Inter-patch InvarianceCode0
Eiffel Tower: A Deep-Sea Underwater Dataset for Long-Term Visual LocalizationCode0
Privacy-Preserving Representations are not Enough -- Recovering Scene Content from Camera PosesCode0
HSCNet++: Hierarchical Scene Coordinate Classification and Regression for Visual Localization with Transformer—0
AV-SAM: Segment Anything Model Meets Audio-Visual Localization and Segmentation—0
SFD2: Semantic-guided Feature Detection and DescriptionCode1
IDLS: Inverse Depth Line based Visual-Inertial SLAM—0
Attention Weighted Local DescriptorsCode1
NeRF-Loc: Visual Localization with Conditional Neural Radiance FieldCode1
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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
4SuperGlueAcc@0.25m, 2°77—Unverified
5GIM-DKMAcc@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