Visual Place Recognition On Tokyo247

المقاييس

Recall@1

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

		Paper Title
Pair-VPR-p	100	Pair-VPR: Place-Aware Pre-training and Contrastive Pair Classification for Visual Place Recognition with Vision Transformers
EffoVPR	98.7	EffoVPR: Effective Foundation Model Utilization for Visual Place Recognition
Pair-VPR-s	98.1	Pair-VPR: Place-Aware Pre-training and Contrastive Pair Classification for Visual Place Recognition with Vision Transformers
BoQ	98.1	BoQ: A Place is Worth a Bag of Learnable Queries
SelaVPR	94.0	Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition
EigenPlaces	93	EigenPlaces: Training Viewpoint Robust Models for Visual Place Recognition
ProGEO	88.6	ProGEO: Generating Prompts through Image-Text Contrastive Learning for Visual Geo-localization
Patch-NetVLAD	86	Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition
CosPlace	82.2	Rethinking Visual Geo-localization for Large-Scale Applications
GCL [trained only on MSLS]	69.84	Generalized Contrastive Optimization of Siamese Networks for Place Recognition
CosPlace (ResNet-101 2048-D)	-	Rethinking Visual Geo-localization for Large-Scale Applications

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