Image Retrieval on R-Oxford Medium
78.3mAPSuperGlue
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| SuperGlueDesc. version=SuperPoint [17], # local desc.=1024, Desc. dim.=256, Global Retrieval Baseline=DELG R50-v2-clean2021.03 | 78.3 | — | |
| RRTDesc. version=R50-v2-clean, # local desc.=500, Desc. dim.=1282021.03 | 78.1 | — | |
| SuperGlueDesc. version=SuperPoint [17], # local desc.=500, Desc. dim.=256, Global Retrieval Baseline=DELG R50-v2-clean2021.03 | 76.2 | — | |
| RRTDesc. version=R50-v1, # local desc.=500, Desc. dim.=1282021.03 | 75.5 | — | |
| HesAffNet-HardNet++-HQE+SVDetector=HesAffNet (Hessian + AffNet), Descriptor=HardNet++, Query Expansion=HQE, Spatial Verification=true2017.11 | 75.2 | 90.9 | |
| SuperGlueDesc. version=SuperPoint [17], # local desc.=1024, Desc. dim.=256, Global Retrieval Baseline=DELG R50-v12021.03 | 74.4 | — | |
| DELG globalDesc. version=R50-v2-clean, # local desc.=02021.03 | 73.6 | — | |
| ResNet50-DELF–HQE+SVBackbone=ResNet-50, Local Feature=DELF, Query Expansion=HQE, Spatial Verification=true2017.11 | 73.4 | 88.2 | |
| SuperGlueDesc. version=SuperPoint [17], # local desc.=500, Desc. dim.=256, Global Retrieval Baseline=DELG R50-v12021.03 | 72.6 | — | |
| HesAffNet-HardNet++-HQEDetector=HesAffNet (Hessian + AffNet), Descriptor=HardNet++, Query Expansion=HQE2017.11 | 71.7 | 89.4 | |
| HesAff-RootSIFT–HQE+SVDetector=Hessian-Affine, Descriptor=RootSIFT, Query Expansion=HQE, Spatial Verification=true2017.11 | 71.3 | 88.1 | |
| ResNet101-GeM+DFSBackbone=ResNet-101, Pooling=GeM, Re-ranking=DFS (Global Diffusion)2017.11 | 69.8 | 84 | |
| DELG globalDesc. version=R50-v1, # local desc.=02021.03 | 69.7 | — | |
| ResNet101-R-MAC+DFSBackbone=ResNet-101, Pooling=R-MAC, Re-ranking=DFS (Global Diffusion)2017.11 | 69 | 82.3 | |
| ResNet101-GeM+αQEBackbone=ResNet-101, Pooling=GeM, Query Expansion=αQE2017.11 | 67.2 | 86 | |
| HesAff-RootSIFT-HQEDetector=Hessian-Affine, Descriptor=RootSIFT, Query Expansion=HQE2017.11 | 66.3 | 85.6 | |
| VGG GeMTraining Dataset=Retrieval-SfM, Descriptor Dimension=512D2019.08 | 60.9 | — | |
| CLAHETraining Dataset=Retrieval-SfM, Descriptor Dimension=512D2019.08 | 60.8 | — | |
| CLAHETraining Dataset=Retrieval-SfM-N/D, Descriptor Dimension=512D2019.08 | 60.2 | — | |
| U-Net normalizationTraining Dataset=Retrieval-SfM-N/D, Fine-tuning Setup=joint, Descriptor Dimension=512D2019.08 | 60.2 | — | |
| VGG GeMTraining Dataset=Retrieval-SfM-N/D, Descriptor Dimension=512D2019.08 | 60 | — | |
| U-Net normalizationTraining Dataset=Retrieval-SfM-N/D, Fine-tuning Setup=normalization, Descriptor Dimension=512D2019.08 | 60 | — | |
| U-Net normalizationTraining Dataset=Retrieval-SfM, Fine-tuning Setup=joint, Descriptor Dimension=512D2019.08 | 59.9 | — | |
| Histogram equalizationTraining Dataset=Retrieval-SfM-N/D, Descriptor Dimension=512D2019.08 | 59.6 | — | |
| Gamma correctionTraining Dataset=Retrieval-SfM-N/D, Descriptor Dimension=512D2019.08 | 59.5 | — | |
| EdgeMAC+VGGTraining Dataset=Retrieval-SfM, Descriptor Dimension=1024D2019.08 | 59.4 | — | |
| U-Net normalizationTraining Dataset=Retrieval-SfM-N/D, Fine-tuning Setup=embedding, Descriptor Dimension=512D2019.08 | 58.1 | — | |
| DINOArch.=ViT-S/16, Pretrain Dataset=GLDv22021.04 | 51.5 | — | |
| RN101+R-MACPretrain=Supervised, Pretrain Dataset=ImNet2021.04 | 49.8 | — | |
| DINOArch.=ViT-S/16, Pretrain Dataset=ImNet2021.04 | 41.8 | — | |
| ROADMAPBackbone=DeiT-S, Training Dataset=SfM-120k, Batch Size=1282021.10 | 38.9 | — | |
| DINOArch.=ResNet-50, Pretrain Dataset=ImNet2021.04 | 35.4 | — | |
| IRTBackbone=DeiT-S, Training Dataset=SfM-120k, Batch Size=1282021.10 | 34.5 | — | |
| ViT-S/16Pretrain=Supervised, Pretrain Dataset=ImNet2021.04 | 33.5 | — | |
| EdgeMACTraining Dataset=Retrieval-SfM, Descriptor Dimension=512D2019.08 | 17.3 | — |