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SotA/Computer Vision/Visual Place Recognition/Pittsburgh-250k-test

Visual Place Recognition on Pittsburgh-250k-test

Metric: Recall@1 (higher is better)

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#Model↕Recall@1▼Extra DataPaperDate↕Code
1FoL97NoFocus on Local: Finding Reliable Discriminative ...2025-04-14Code
2BoQ96.6NoBoQ: A Place is Worth a Bag of Learnable Queries2024-05-12Code
3QAA-DINOv2-B-819296.6YesQuery-Based Adaptive Aggregation for Multi-Datas...2025-07-04-
4FoL-global96.5NoFocus on Local: Finding Reliable Discriminative ...2025-04-14Code
5SelaVPR95.7NoTowards Seamless Adaptation of Pre-trained Model...2024-02-22Code
6DINOv2 SALAD95.1NoOptimal Transport Aggregation for Visual Place R...2023-11-27Code
7BoQ (ResNet-50)95NoBoQ: A Place is Worth a Bag of Learnable Queries2024-05-12Code
8MixVPR94.6NoMixVPR: Feature Mixing for Visual Place Recognit...2023-03-03Code
9EigenPlaces94.1NoEigenPlaces: Training Viewpoint Robust Models fo...2023-08-21Code
10Conv-AP92.4NoGSV-Cities: Toward Appropriate Supervised Visual...2022-10-19Code
11ProGEO92.2YesProGEO: Generating Prompts through Image-Text Co...2024-06-04Code
12NetVLAD (with GPM)91.5YesGlobal Proxy-based Hard Mining for Visual Place ...2023-02-28Code
13CosPlace91.5YesRethinking Visual Geo-localization for Large-Sca...2022-04-05Code