Image Retrieval on Oxford5k (test)
91.9mAPGeM+alphaQE
Evaluation Results
| Method | Links | |
|---|---|---|
| GeM+alphaQENet=VGG, F-tuned=yes, Dim=512, Representation=multi-scale, Whitening=Lw2017.11 | 91.9 | |
| HesAffNet-HardNet++Retrieval Pipeline=+SV+QE(8)2017.11 | 91.1 | |
| GeM+alphaQENet=Res, F-tuned=yes, Dim=2048, Representation=multi-scale, Whitening=Lw2017.11 | 91 | |
| R-MAC+QENet=Res, F-tuned=yes, Dim=20482017.11 | 90.6 | |
| R-MAC+QENet=VGG, F-tuned=yes, Dim=5122017.11 | 89.1 | |
| HesAffNet-HardNet++Retrieval Pipeline=+SV+QE(15)2017.11 | 89 | |
| HQENet=n/a, F-tuned=n/a, Dim=n/a2017.11 | 88 | |
| HQE(65k)Search Strategy=Query Expansion, Query Cropping=Crop2016.04 | 88 | |
| HesAffNet-RootSIFTRetrieval Pipeline=+SV+QE(8)2017.11 | 88 | |
| GeMNet=VGG, F-tuned=yes, Dim=512, Representation=multi-scale, Whitening=Lw2017.11 | 87.9 | |
| GeMNet=Res, F-tuned=yes, Dim=2048, Representation=multi-scale, Whitening=Lw2017.11 | 87.8 | |
| HesAffNetLess-HardNet++Retrieval Pipeline=+SV+QE(8)2017.11 | 87.3 | |
| HesAffNet-RootSIFTRetrieval Pipeline=+SV+QE(15)2017.11 | 86.5 | |
| R-MACNet=Res, F-tuned=yes, Dim=20482017.11 | 86.1 | |
| HesAffNetLess-HardNet++Retrieval Pipeline=+SV+QE(15)2017.11 | 86.1 | |
| HesAff-HardNet++Retrieval Pipeline=+SV+QE(8)2017.11 | 85.1 | |
| MAC+R+QEDimensionality=512, Backbone=VGG, Training Protocol=Fine-tuned, Search Strategy=Re-ranking and Query Expansion, Query Cropping=Crop2016.04 | 85 | |
| Mikulik et al. (2013)2015.11 | 84.9 | |
| BoW-fVocab+R+QENet=n/a, F-tuned=n/a, Dim=n/a2017.11 | 84.9 | |
| HesAff-HardNet++Retrieval Pipeline=+SV+QE(15)2017.11 | 84.5 | |
| R-MACNet=VGG, F-tuned=yes, Dim=5122017.11 | 83.1 | |
| Chum et al. (2011)2015.11 | 82.7 | |
| BoW+R+QENet=n/a, F-tuned=n/a, Dim=n/a2017.11 | 82.7 | |
| Fisher VectorNet=VGG, F-tuned=yes, Dim=5122017.11 | 81.5 | |
| Danfeng et al. (2011)2015.11 | 81.4 | |
| Tolias et al. (2015)2015.11 | 80.4 | |
| HesAff-RootSIFTRetrieval Pipeline=+SV+QE(8)2017.11 | 80.1 | |
| MACDimensionality=512, Backbone=VGG, Training Protocol=Fine-tuned, Query Cropping=Crop X2016.04 | 80 | |
| MACDimensionality=512, Backbone=VGG, Training Protocol=Fine-tuned, Query Cropping=Crop2016.04 | 79.7 | |
| MAC-Hard(V)Backbone=VGG162016.11 | 79.7 | |
| R-MAC+QENet=Res, F-tuned=no, Dim=20482017.11 | 78.9 | |
| BOW-CNN+R+QENet=VGG, F-tuned=no, Dim=n/a2017.11 | 78.8 | |
| HesAff-RootSIFTRetrieval Pipeline=+SV+QE(15)2017.11 | 78.4 | |
| Tao et al. (2014)2015.11 | 77.8 | |
| HesAffNet-HardNet++Retrieval Pipeline=+SV2017.11 | 77.8 | |
| HesAffNet-TFeat-M*Retrieval Pipeline=+SV+QE(8)2017.11 | 77.5 | |
| R-MAC+AML+QE2015.11 | 77.3 | |
| R-MAC+R+QENet=VGG, F-tuned=no, Dim=5122017.11 | 77.3 | |
| R-MAC-HardBackbone=VGG162016.11 | 77 | |
| MACDimensionality=128, Backbone=VGG, Training Protocol=Fine-tuned, Query Cropping=Crop X2016.04 | 76.8 | |
| R-MACDimensionality=128, Backbone=VGG, Training Protocol=Fine-tuned, Query Cropping=Crop X2016.04 | 76.7 | |
| Proposed Siamese NetworkBackbone=VGG162016.11 | 76.4 | |
| MACDimensionality=128, Backbone=VGG, Training Protocol=Fine-tuned, Query Cropping=Crop2016.04 | 75.8 | |
| Shen et al. (2014)2015.11 | 75.2 | |
| HesAffNet-TFeat-M*Retrieval Pipeline=+SV+QE(15)2017.11 | 75.2 | |
| CroW+QENet=VGG, F-tuned=no, Dim=5122017.11 | 74.9 | |
| BoW-CNNNet=VGG, F-tuned=no, Dim=n/a2017.11 | 73.9 | |
| HesAff-TFeat-M*Retrieval Pipeline=+SV+QE(8)2017.11 | 73.8 | |
| HesAffNetLess-HardNet++Retrieval Pipeline=+SV2017.11 | 73.3 | |
| HesAffNet-RootSIFTRetrieval Pipeline=+SV2017.11 | 72.8 | |
| R-MACDimensionality=128, Backbone=VGG, Training Protocol=Fine-tuned, Query Cropping=Crop2016.04 | 72.5 | |
| ImageNet labelsBackbone=VGG-16, Retrieval Method=R-MAC, Resolution=1024, Grid levels=3, Sobel filtering=true2018.07 | 72.4 | |
| HesAff-TFeat-M*Retrieval Pipeline=+SV+QE(15)2017.11 | 72.2 | |
| NetVLADNet=VGG, F-tuned=yes, Dim=40962017.11 | 71.6 | |
| CroWNet=VGG, F-tuned=no, Dim=5122017.11 | 70.8 | |
| Finetuned-BaselineBackbone=VGG162016.11 | 69.8 | |
| HesAff-HardNet++Retrieval Pipeline=+SV2017.11 | 69.6 | |
| R-MACNet=Res, F-tuned=no, Dim=20482017.11 | 69.4 | |
| HesAffNet-HardNet++Retrieval Pipeline=BoW2017.11 | 68.3 | |
| CroWBackbone=VGG162016.11 | 68.2 | |
| SPOCNet=VGG, F-tuned=no, Dim=5122017.11 | 68.1 | |
| NetVLADNet=VGG, F-tuned=yes, Dim=5122017.11 | 67.6 | |
| R-MACD=5122015.11 | 66.9 | |
| R-MACNet=VGG, F-tuned=no, Dim=5122017.11 | 66.9 | |
| R-MACBackbone=VGG162016.11 | 66.9 | |
| NetVLADNet=VGG, F-tuned=no, Dim=40962017.11 | 66.6 | |
| Proposed Siamese NetworkBackbone=CaffeNet2016.11 | 66.2 | |
| HesAffNetLess-HardNet++Retrieval Pipeline=BoW2017.11 | 64.3 | |
| HesAff-RootSIFTRetrieval Pipeline=+SV2017.11 | 63 | |
| R-MAC-HardBackbone=CaffeNet2016.11 | 62.5 | |
| MAC-Hard(V)Backbone=CaffeNet2016.11 | 62.2 | |
| HesAffNet-RootSIFTRetrieval Pipeline=BoW2017.11 | 61.6 | |
| DeepClusterBackbone=VGG-16, Retrieval Method=R-MAC, Resolution=1024, Grid levels=3, Sobel filtering=true2018.07 | 61 | |
| HesAff-HardNet++Retrieval Pipeline=BoW2017.11 | 60.8 | |
| Finetuned-BaselineBackbone=CaffeNet2016.11 | 60.2 | |
| HesAffNet-TFeat-M*Retrieval Pipeline=+SV2017.11 | 57.3 | |
| MACNet=VGG, F-tuned=no, Dim=5122017.11 | 56.4 | |
| R-MACD=2562015.11 | 56.1 | |
| R-MACBackbone=CaffeNet2016.11 | 56.1 | |
| Jégou & Zisserman (2014)D=10242015.11 | 56 | |
| Babenko et al. (2014)D=1282015.11 | 55.7 | |
| Neural codesDimensionality=128, Backbone=AlexNet, Training Protocol=Fine-tuned, Query Cropping=Crop2016.04 | 55.7 | |
| MACDimensionality=128, Backbone=VGG, Training Protocol=Off-the-shelf, Query Cropping=Crop X2016.04 | 55.7 | |
| Neural codesBackbone=CaffeNet2016.11 | 55.7 | |
| HesAff-TFeat-M*Retrieval Pipeline=+SV2017.11 | 55.6 | |
| HesAff-RootSIFTRetrieval Pipeline=BoW2017.11 | 55.1 | |
| MACDimensionality=128, Backbone=VGG, Training Protocol=Off-the-shelf, Query Cropping=Crop2016.04 | 53.5 | |
| Razavian et al. (2014b)D=2562015.11 | 53.3 | |
| Babenko & Lempitsky (2015)D=2562015.11 | 53.1 | |
| mVoc/BoWDimensionality=128, Query Cropping=Crop2016.04 | 48.8 | |
| mVoc/BoWBackbone=CaffeNet2016.11 | 48.8 | |
| HesAff-TFeat-M*Retrieval Pipeline=BoW2017.11 | 46.7 | |
| HesAffNet-TFeat-M*Retrieval Pipeline=BoW2017.11 | 45.5 | |
| Jégou & Zisserman (2014)D=1282015.11 | 43.3 | |
| Wang et al.Backbone=VGG-16, Retrieval Method=R-MAC, Resolution=1024, Grid levels=3, Sobel filtering=false2018.07 | 42.3 | |
| Doersch et al.Backbone=VGG-16, Retrieval Method=R-MAC, Resolution=1024, Grid levels=3, Sobel filtering=false2018.07 | 35.4 | |
| RandomBackbone=VGG-16, Retrieval Method=R-MAC, Resolution=1024, Grid levels=3, Sobel filtering=true2018.07 | 6.9 |