List your company

Visual Place Recognition on Pitts250k

96.9Recall@1FoL++
77.76482.73287.792.668Apr 5, 2022Dec 14, 2022Aug 24, 2023May 3, 2024Jan 11, 2025Sep 21, 2025Jun 1, 2026

Evaluation results

MethodLinks
FoL++Architecture=ViT-L, Evaluation Protocol=Two-Stage, Training Resolution=224x224, Inference Resolution=322x3222026.0496.99999.4
FoLArchitecture=ViT-L, Evaluation Protocol=Two-Stage, Version=AAAI'25, Training Resolution=224x224, Inference Resolution=322x3222026.0496.89999.4
BoQBackbones=DINOv2-B, Cd=122882025.0796.6——
QAABackbones=DINOv2-B, Cd=81922025.0796.6——
BoQQuery Network=DINOv2-B, Gallery Model Training Configuration=BoQ (DINOv2-B), Retrieval Protocol=Symmetric2025.1296.699.1—
BoQArchitecture=ViT-B, Evaluation Protocol=Single-Stage, Training Resolution=224x224, Inference Resolution=322x3222026.0496.699.199.5
SelaVPR++Architecture=ViT-L, Evaluation Protocol=Two-Stage, Version=TPAMI'25, Training Resolution=224x224, Inference Resolution=322x3222026.0496.69999.3
ImAgeArchitecture=ViT-B, Evaluation Protocol=Single-Stage, Training Resolution=224x224, Inference Resolution=322x3222026.0496.599.199.5
QAABackbones=DINOv2-B, Cd=20482025.0796.4——
QAABackbones=DINOv2-B, Cd=40962025.0796.3——
QAABackbones=DINOv2-B, Cd=10242025.0796.3——
FoLArchitecture=ViT-B, Evaluation Protocol=Two-Stage, Version=AAAI'25, Training Resolution=224x224, Inference Resolution=322x3222026.0496.199.199.5
EDTFormerArchitecture=ViT-B, Evaluation Protocol=Single-Stage, Training Resolution=224x224, Inference Resolution=322x3222026.0495.998.899.3
SelaVPR++Architecture=ViT-B, Evaluation Protocol=Two-Stage, Version=TPAMI'25, Training Resolution=224x224, Inference Resolution=322x3222026.0495.998.699.2
SAGEArchitecture=ViT-B, Evaluation Protocol=Single-Stage, Training Resolution=224x224, Inference Resolution=322x3222026.0495.798.699.2
FoL++Architecture=ViT-B, Evaluation Protocol=Two-Stage, Training Resolution=224x224, Inference Resolution=322x3222026.0495.798.699.2
SelaVPRArchitecture=ViT-L, Evaluation Protocol=Two-Stage, Version=ICLR'24, Training Resolution=224x224, Inference Resolution=322x3222026.0495.798.899.2
CricaVPRArchitecture=ViT-B, Evaluation Protocol=Single-Stage, Training Resolution=224x224, Inference Resolution=322x3222026.0495.698.999.5
FoL++Architecture=ViT-L, Evaluation Protocol=global, Training Resolution=224x224, Inference Resolution=322x3222026.0495.698.899.2
AsymVPRQuery Network=EfficientViT-B2, Gallery Model Training Configuration=BoQ (DINOv2-B), Retrieval Protocol=Asymmetric2025.1295.498.5—
SALAD CMBackbones=DINOv2-B, Cd=84482025.0795.2——
SALAD-CMArchitecture=ViT-B, Evaluation Protocol=Single-Stage, Training Resolution=224x224, Inference Resolution=322x3222026.0495.298.899.3
SALADQuery Network=DINOv2-B, Gallery Model Training Configuration=SALAD (DINOv2-B), Retrieval Protocol=Symmetric2025.1295.198.6—
SALADArchitecture=ViT-B, Evaluation Protocol=Single-Stage, Training Resolution=224x224, Inference Resolution=322x3222026.0495.198.599.1
D3stillQuery Network=EfficientViT-B2, Gallery Model Training Configuration=BoQ (DINOv2-B), Retrieval Protocol=Asymmetric2025.129598.4—
CSDQuery Network=EfficientViT-B2, Gallery Model Training Configuration=BoQ (DINOv2-B), Retrieval Protocol=Asymmetric2025.1294.698.4—
FoL++Architecture=ViT-B, Evaluation Protocol=global, Training Resolution=224x224, Inference Resolution=322x3222026.0494.698.399
EfficientViT-B2-BoQQuery Network=EfficientViT-B2, Gallery Model Training Configuration=BoQ (DINOv2-B), Retrieval Protocol=Symmetric2025.1294.398.3—
MSPQuery Network=EfficientViT-B2, Gallery Model Training Configuration=BoQ (DINOv2-B), Retrieval Protocol=Asymmetric2025.1294.398.1—
MixVPRBackbones=ResNet-50, Cd=40962025.0794.2——
EigenPlaceBackbones=ResNet-50, Cd=20482025.0794.1——
EigenPlacesBackbone=ResNet-50, Descriptor Dimension=20482023.0894.1——
MixVPRBackbone=ResNet-50, Descriptor Dimension=40962023.0894.1——
EigenPlacesBackbone=ResNet-50, Descriptor Dimension=5122023.0893.5——
AsymVPRQuery Network=MobileViTv2, Gallery Model Training Configuration=BoQ (DINOv2-B), Retrieval Protocol=Asymmetric2025.1293.497.8—
D3stillQuery Network=MobileViTv2, Gallery Model Training Configuration=BoQ (DINOv2-B), Retrieval Protocol=Asymmetric2025.1293.297.5—
MixVPRBackbone=ResNet-50, Descriptor Dimension=5122023.0893——
MixVPRDescriptor dimension=512, Train set=GSV-Cities2024.0693——
MSPQuery Network=MobileViTv2, Gallery Model Training Configuration=BoQ (DINOv2-B), Retrieval Protocol=Asymmetric2025.129397.6—
MobileViTv2-BoQQuery Network=MobileViTv2, Gallery Model Training Configuration=BoQ (DINOv2-B), Retrieval Protocol=Symmetric2025.1292.898—
Conv-APBackbone=ResNet-50, Descriptor Dimension=81922023.0892.6——
CSDQuery Network=MobileViTv2, Gallery Model Training Configuration=BoQ (DINOv2-B), Retrieval Protocol=Asymmetric2025.1292.597.5—
Conv-APBackbones=ResNet-50, Cd=40962025.0792.4——
AsymVPRQuery Network=EfficientViT-B2, Gallery Model Training Configuration=SALAD (DINOv2-B), Retrieval Protocol=Asymmetric2025.1292.497.5—
CosPlaceBackbones=ResNet-50, Cd=20482025.0792.3——
CosPlaceBackbone=ResNet-50, Descriptor Dimension=20482023.0892.3——
Conv-APBackbone=ResNet-50, Descriptor Dimension=20482023.0892.3——
Conv-APBackbone=ResNet-50, Descriptor Dimension=40962023.0892.3——
ProGeo (CNN)Descriptor dimension=512, Train set=SF-XL2024.0692.297.7—
EfficientViT-B2-SALADQuery Network=EfficientViT-B2, Gallery Model Training Configuration=SALAD (DINOv2-B), Retrieval Protocol=Symmetric2025.1292.197.1—
D3stillQuery Network=EfficientViT-B2, Gallery Model Training Configuration=SALAD (DINOv2-B), Retrieval Protocol=Asymmetric2025.1291.997—
CosPlaceBackbone=ResNet-50, Descriptor Dimension=5122023.0891.7——
MSPQuery Network=EfficientViT-B2, Gallery Model Training Configuration=SALAD (DINOv2-B), Retrieval Protocol=Asymmetric2025.1291.696.7—
ROPQuery Network=EfficientViT-B2, Gallery Model Training Configuration=BoQ (DINOv2-B), Retrieval Protocol=Asymmetric2025.1291.697.1—
EigenPlacesBackbone=VGG-16, Descriptor Dimension=5122023.0891.2——
CSDQuery Network=EfficientViT-B2, Gallery Model Training Configuration=SALAD (DINOv2-B), Retrieval Protocol=Asymmetric2025.1291.297—
ProGeo (Transformer)Descriptor dimension=512, Train set=SF-XL2024.0690.795.9—
ROPQuery Network=MobileViTv2, Gallery Model Training Configuration=BoQ (DINOv2-B), Retrieval Protocol=Asymmetric2025.1290.796.8—
SRFSBackbones=VGG-16, Cd=40962025.0790.4——
SFRSBackbone=VGG-16, Descriptor Dimension=40962023.0890.4——
Conv-APBackbone=ResNet-50, Descriptor Dimension=5122023.0890.4——
Conv-APDescriptor dimension=512, Train set=GSV-Cities2024.0690.4——
EigenPlacesBackbone=ResNet-50, Descriptor Dimension=1282023.0890.2——
SFRSDesc. dim.=4096, Train set=Pitts30k, Backbone=VGG-162022.0490.195.8—
SFRSDescriptor dimension=4096, Train set=Pitts30k2024.0690.195.8—
CosPlaceDesc. dim.=512, Train set=SF-XL, Backbone=VGG-162022.0489.796.4—
CosPlaceBackbone=VGG-16, Descriptor Dimension=5122023.0889.7——
CosPlaceDescriptor dimension=512, Train set=SF-XL2024.0689.796.4—
CosPlaceBackbone=ResNet-50, Descriptor Dimension=1282023.0889.6——
ROPQuery Network=EfficientViT-B2, Gallery Model Training Configuration=SALAD (DINOv2-B), Retrieval Protocol=Asymmetric2025.1289.196.1—
AsymVPRQuery Network=MobileViTv2, Gallery Model Training Configuration=SALAD (DINOv2-B), Retrieval Protocol=Asymmetric2025.128995.2—
APPSVRDesc. dim.=4096, Train set=Pitts30k, Backbone=VGG-162022.0488.894.8—
APPSVRDescriptor dimension=4096, Train set=Pitts30k2024.0688.895.6—
MixVPRBackbone=ResNet-50, Descriptor Dimension=1282023.0888.7——
MSPQuery Network=MobileViTv2, Gallery Model Training Configuration=SALAD (DINOv2-B), Retrieval Protocol=Asymmetric2025.1288.495.6—
CSDQuery Network=MobileViTv2, Gallery Model Training Configuration=SALAD (DINOv2-B), Retrieval Protocol=Asymmetric2025.1288.195.5—
SAREDesc. dim.=4096, Train set=Pitts30k, Backbone=VGG-162022.048894.8—
SAREDescriptor dimension=4096, Train set=Pitts30k2024.068894.8—
MobileViTv2-SALADQuery Network=MobileViTv2, Gallery Model Training Configuration=SALAD (DINOv2-B), Retrieval Protocol=Symmetric2025.1287.995.1—
SRALNetDesc. dim.=4096, Train set=Pitts30k, Backbone=VGG-162022.0487.8——
SRALNetDescriptor dimension=4096, Train set=Pitts30k2024.0687.894.8—
CleanBackbone=ResNet18, Descriptor Bit Length=642026.0687.5——
CRNDesc. dim.=32768, Train set=Pitts30k, Backbone=VGG-162022.048794.5—
CRNDescriptor dimension=32768, Train set=Pitts30k2024.068794.5—
ROPQuery Network=MobileViTv2, Gallery Model Training Configuration=SALAD (DINOv2-B), Retrieval Protocol=Asymmetric2025.1286.594.5—
D3stillQuery Network=MobileViTv2, Gallery Model Training Configuration=SALAD (DINOv2-B), Retrieval Protocol=Asymmetric2025.1286.594—
NetVLADBackbones=VGG-16, Cd=40962025.0785.9——
NetVLADDesc. dim.=32768, Train set=Pitts30k, Backbone=VGG-162022.0485.993.6—
NetVLADBackbone=VGG-16, Descriptor Dimension=40962023.0885.9——
NetVLADDescriptor dimension=32768, Train set=Pitts30k2024.0685.993.6—
CleanBackbone=ResNet18, Descriptor Bit Length=322026.0685.2——
CleanBackbone=VGG16, Descriptor Bit Length=642026.0684.9——
APANetDesc. dim.=512, Train set=Pitts30k, Backbone=VGG-162022.0483.792.6—
APANetDescriptor dimension=512, Train set=Pitts30k2024.0683.792.6—
CleanBackbone=VGG16, Descriptor Bit Length=322026.0682.3——
CleanBackbone=ResNet18, Descriptor Bit Length=162026.0681.7——
NetVLADDesc. dim.=32768, Train set=SF-XL*, Backbone=VGG-162022.0481.590.8—
NetVLADDesc. dim.=32768, Train set=MSLS, Backbone=VGG-162022.0479.790.2—
NetVLADDescriptor dimension=32768, Train set=MSLS2024.0679.790.2—
CleanBackbone=VGG16, Descriptor Bit Length=162026.0678.5——