Visual Place Recognition
102 papers with code • 27 benchmarks • 19 datasets
Visual Place Recognition is the task of matching a view of a place with a different view of the same place taken at a different time.
Source: Visual place recognition using landmark distribution descriptors
Image credit: Visual place recognition using landmark distribution descriptors
Benchmarks
These leaderboards are used to track progress in Visual Place Recognition
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Libraries
Use these libraries to find Visual Place Recognition models and implementationsDatasets
KITTI
NCLT
Mapillary Vistas Dataset
MSLS
Oxford RobotCar Dataset
DDD17
Nordland
GSV-Cities
AmsterTime
Latest papers
TSCM: A Teacher-Student Model for Vision Place Recognition Using Cross-Metric Knowledge Distillation
nubot-nudt/tscm
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Visual place recognition (VPR) plays a pivotal role in autonomous exploration and navigation of mobile robots within complex outdoor environments.
JIST: Joint Image and Sequence Training for Sequential Visual Place Recognition
ga1i13o/jist
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As a mitigation to this problem, we propose a novel Joint Image and Sequence Training protocol (JIST) that leverages large uncurated sets of images through a multi-task learning framework.
CricaVPR: Cross-image Correlation-aware Representation Learning for Visual Place Recognition
lu-feng/cricavpr
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Over the past decade, most methods in visual place recognition (VPR) have used neural networks to produce feature representations.
NocPlace: Nocturnal Visual Place Recognition via Generative and Inherited Knowledge Transfer
Visual Place Recognition (VPR) is crucial in computer vision, aiming to retrieve database images similar to a query image from an extensive collection of known images.
Deep Homography Estimation for Visual Place Recognition
lu-feng/dhe-vpr
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Moreover, we design a re-projection error of inliers loss to train the DHE network without additional homography labels, which can also be jointly trained with the backbone network to help it extract the features that are more suitable for local matching.
VOLoc: Visual Place Recognition by Querying Compressed Lidar Map
Then the QPC is compressed by the same GPC, and is aggregated into a global descriptor by an attention-based aggregation module, to query the compressed Lidar map in the vector space.
Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition
Lu-Feng/SelaVPR
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Experimental results show that our method outperforms the state-of-the-art methods with less training data and training time, and uses about only 3% retrieval runtime of the two-stage VPR methods with RANSAC-based spatial verification.
DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition
The utilization of multi-modal sensor data in visual place recognition (VPR) has demonstrated enhanced performance compared to single-modal counterparts.
Optimal Transport Aggregation for Visual Place Recognition
serizba/salad
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The task of Visual Place Recognition (VPR) aims to match a query image against references from an extensive database of images from different places, relying solely on visual cues.
Applications of Spiking Neural Networks in Visual Place Recognition
Lastly, we investigate the role of sequence matching in SNN-based VPR, a technique where consecutive images are used to refine place recognition.
