Visual Place Recognition
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Benchmarks
Pittsburgh-30k-test
Mapillary val
Nordland
St Lucia
Tokyo247
Pittsburgh-250k-test
Mapillary test
17 Places
AmsterTime
Baidu Mall
Nardo-Air R
Eynsham
Gardens Point
Hawkins
Laurel Caverns
Mid-Atlantic Ridge
Nardo-Air
Oxford RobotCar Dataset
SPED
VP-Air
KITTI360pose
SF-XL test v1
SF-XL test v2
Berlin Kudamm
Nordland* (2760 queries)
SVOX-Night
SVOX-Overcast
SVOX-Rain
SVOX-Snow
SVOX-Sun
CV-Cities
MSLS
SVOX
SF-XL Night
SF-XL Occlusion
Inside Out
KITTI
VP Air
Most implemented
Emerging Properties in Self-Supervised Vision Transformers
DINOv2: Learning Robust Visual Features without Supervision
SuperGlue: Learning Feature Matching with Graph Neural Networks
NetVLAD: CNN architecture for weakly supervised place recognition
MegaLoc: One Retrieval to Place Them All
Papers
AdaptVPR: Route-Aware Hard Positive Generation for Robust Visual Place Recognition
Visual Place Recognition (VPR) localizes a query image by retrieving database images of the same or nearby place, yet its robustness is often degraded by domain shifts arising from illumination, weather, seasonal changes…
Visual Place RecognitionTopometric Autonomous Vehicle Localization by Combining Visual Embeddings and Feed-Forward 3D Models
Effective Visual Localization (VL) requires a map of the environment that combines compactness for efficient scalability with robustness against visual appearance changes and metric precision. Through low-dimensional ima…
Visual Place RecognitionVisual LocalizationPose EstimationAre All Tokens Necessary for Visual Place Recognition? An Empirical Study of Token Reduction for Efficient Inference
Recent visual place recognition (VPR) methods based on vision transformers, particularly foundation models, have achieved remarkable recognition performance. However, these models process all visual tokens throughout the…
Visual Place RecognitionSelectivity Drives Efficiency: Dataset Pruning for Visual Place Recognition
Recent visual place recognition (VPR) studies have increasingly relied on large-scale datasets to train more robust and discriminative models. Although this trend significantly improves recognition performance, it also i…
Visual Place RecognitionImmediate 3D Gaussian Splat Reconstruction of Unordered Input with Global Consistency
3D Gaussian Splatting (3DGS) has become the method of choice for reconstructing and real-time rendering of captured scenes. To capture a scene with good visual quality, continuous image sequences are usually combined wit…
Visual Place RecognitionBreaking Déjà Vu: Independent Auditing of Visual Place Recognition through Vision-Language Reasoning
Visual place recognition (VPR) is a key enabler of accurate localization and long-term autonomous navigation in robotics applications, such as loop closure detection for simultaneous localisation and mapping (SLAM). Howe…
Visual Place RecognitionImage Matching