Image Retrieval on Revisited Oxford (ROxf) Medium 1.0 (test)
79.4mAPHOW-ASMK
Evaluation results
| Method | Links | ||
|---|---|---|---|
| HOW-ASMKTraining set=SfM-120k, Net=ResNet-50, Number of local descriptors=2000, Feature Type=Local feature aggregation2021.03 | 79.4 | 65.8 | |
| HOW-ASMKTraining set=SfM-120k, Net=ResNet-50, Number of local descriptors=1000, Feature Type=Local feature aggregation2021.03 | 78.3 | 63.6 | |
| DELG + GVTraining set=GLDv2-clean, Net=ResNet-50, Number of local descriptors=1000, Feature Type=Global features + Re-ranking2021.03 | 78.3 | 67.2 | |
| DELG + RRTTraining set=GLDv2-clean, Net=ResNet-50, Number of local descriptors=500, Feature Type=Global features + Re-ranking2021.03 | 78.1 | 67 | |
| DELG + RRTTraining set=GLDv1&v2-clean, Net=ResNet-50, Number of local descriptors=500, Feature Type=Global features + Re-ranking2021.03 | 75.5 | 61.2 | |
| DELG + GVTraining set=GLDv1, Net=ResNet-50, Number of local descriptors=1000, Feature Type=Global features + Re-ranking2021.03 | 75.1 | 61.1 | |
| DELGTraining set=GLDv1, Net=ResNet-50, Number of local descriptors=0, Feature Type=Global features2021.03 | 69.7 | 55 | |
| DELF-ASMKTraining set=Landmarks, Net=ResNet-50, Number of local descriptors=1000, Feature Type=Local feature aggregation2021.03 | 67.8 | 53.8 | |
| GeM-APTraining set=SfM-120k, Net=ResNet-101, Number of local descriptors=0, Feature Type=Global features2021.03 | 67.5 | 47.5 | |
| GeM + DSMTraining set=SfM-120k, Net=ResNet-101, Number of local descriptors=1000, Feature Type=Global features + Re-ranking2021.03 | 65.3 | 47.6 | |
| GeMTraining set=SfM-120k, Net=ResNet-101, Number of local descriptors=0, Feature Type=Global features2021.03 | 64.7 | 45.2 | |
| R-MACTraining set=Landmarks, Net=ResNet-101, Number of local descriptors=0, Feature Type=Global features2021.03 | 60.9 | 39.3 |