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Visual Place Recognition On Mapillary Val

Metriken

Recall@1

Recall@10

Recall@5

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname	Recall@1	Recall@10	Recall@5	Paper Title	Repository
Conv-AP	83.4	92.3	90.5	GSV-Cities: Toward Appropriate Supervised Visual Place Recognition
Patch-NetVLAD	79.5	87.7	86.2	Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition
NetVLAD (with GPM)	82.0	91.4	90.4	Global Proxy-based Hard Mining for Visual Place Recognition
CosPlace (ResNet-101 2048-D)	86.7	93.4	92.1	Rethinking Visual Geo-localization for Large-Scale Applications
SelaVPR	90.8	97.2	96.4	Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition
ResNeXt GCL + PCA	80.9	92.6	90.7	Generalized Contrastive Optimization of Siamese Networks for Place Recognition
ResNeXt GCL	75.5	88.5	86.1	Generalized Contrastive Optimization of Siamese Networks for Place Recognition
BoQ	93.8	97	96.8	BoQ: A Place is Worth a Bag of Learnable Queries
CosPlace	-	91.8	89.9	Rethinking Visual Geo-localization for Large-Scale Applications
DINOv2 SALAD	92.2	97	96.4	Optimal Transport Aggregation for Visual Place Recognition
Pair-VPR-p	95.4	97.7	97.3	Pair-VPR: Place-Aware Pre-training and Contrastive Pair Classification for Visual Place Recognition with Vision Transformers
MixVPR	88.2	94.3	93.1	MixVPR: Feature Mixing for Visual Place Recognition
BoQ (ResNet-50)	91.2	96.1	95.3	BoQ: A Place is Worth a Bag of Learnable Queries
EffoVPR	92.8	97.4	97.2	EffoVPR: Effective Foundation Model Utilization for Visual Place Recognition	-
Pair-VPR-s	93.7	97.3	97.2	Pair-VPR: Place-Aware Pre-training and Contrastive Pair Classification for Visual Place Recognition with Vision Transformers

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