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Image Retrieval on Holidays

94.2mAPDeep Image Retrieval (ResNet50)
49.79261.32172.8584.379Dec 23, 2014Jan 21, 2016Feb 19, 2017Mar 21, 2018Apr 19, 2019May 18, 2020Jun 17, 2021

Evaluation results

MethodLinks
Deep Image Retrieval (ResNet50)Dim.=2048, Retrieval Protocol=Global descriptors, Backbone=ResNet50, Manual Rotation=true2016.0494.2
XCIT-S12/8Aggregation strategy=ASMK, k=655362021.0692.3
XCIT-S12/16Aggregation strategy=ASMK, k=655362021.0692
Deep Image Retrieval (ResNet50)Dim.=2048, Retrieval Protocol=Global descriptors, Backbone=ResNet502016.0490.7
XCiT-S12/16Aggregation strategy=VLAD, k=10242021.0690.7
XCIT-S12/8Aggregation strategy=ASMK, k=10242021.0690.4
XCiT-S12/16Aggregation strategy=ASMK, k=10242021.0690.4
Azizpour et al.Retrieval Protocol=Matching / Spatial verif. / QE2016.0490
XCIT-S12/16Aggregation strategy=VLAD, k=2562021.0689.9
Xinchao et al.Retrieval Protocol=Matching / Spatial verif. / QE2016.0489.2
Deep Image Retrieval (VGG16)Dim.=512, Retrieval Protocol=Global descriptors, Backbone=VGG16, Manual Rotation=true2016.0489.1
XCIT-S12/8Aggregation strategy=class token, Training protocol=self-supervised DINO2021.0688.3
Resnet50Aggregation strategy=ASMK, k=655362021.0687.9
Multigrain-resnet50Aggregation strategy=ASMK, k=10242021.0687.9
Arandjelovic et al.Dim.=4096, Retrieval Protocol=Global descriptors, Manual Rotation=true2016.0487.5
XCIT-S12/16Aggregation strategy=class token, Training protocol=self-supervised DINO2021.0687.3
Tolias et al.Dim.=512, Retrieval Protocol=Global descriptors, Reimplementation=true, Manual Rotation=true2016.0486.9
Deep Image Retrieval (VGG16)Dim.=512, Retrieval Protocol=Global descriptors, Backbone=VGG162016.0486.7
XCiT-S12/8Aggregation strategy=class token, Resolution=768 (default)2021.0686.4
XCIT-S12/16Aggregation strategy=class token, Resolution=10242021.0686.3
XCIT-S12/16Aggregation strategy=class token, Resolution=768 (default)2021.0686
XCIT-S12/16Aggregation strategy=class token, Resolution=7682021.0686
Resnet50Aggregation strategy=ASMK, k=10242021.0686
Tolias et al.Dim.=512, Retrieval Protocol=Global descriptors, Reimplementation=true2016.0485.2
Kalantidis et al.Dim.=512, Retrieval Protocol=Global descriptors2016.0484.9
Perronnin & LarlusDim.=4000, Retrieval Protocol=Global descriptors2016.0484.7
Deng et al.Retrieval Protocol=Matching / Spatial verif. / QE2016.0484.7
XCIT-S12/16Aggregation strategy=class token, Resolution=5122021.0684.6
Ng et al.Dim.=128, Retrieval Protocol=Global descriptors2016.0483.6
XCiT-S12/16Aggregation strategy=class token, Resolution=3842021.0683.4
Arandjelovic et al.Dim.=4096, Retrieval Protocol=Global descriptors2016.0483.1
Radenovic et al.Dim.=512, Retrieval Protocol=Global descriptors, Manual Rotation=true2016.0482.5
ImageNet-21K PretrainingPre-training=ImageNet-21K2021.0482.1
NetVLADMode=off-the-shelf, Whitening=learnt on Pittsburgh, Representation Dimension=256-D2015.1182.1
Tolias et al. (QE)Retrieval Protocol=Matching / Spatial verif. / QE2016.0481.3
ImageNet-1K PretrainingPre-training=ImageNet-1K2021.0481.1
Gong et al.Dim.=2048, Retrieval Protocol=Global descriptors2016.0480.8
Sum pooling (SPoC w/o center prior)Descriptor Dimension=2562015.1080.2
Babenko & LempitskyDim.=256, Retrieval Protocol=Global descriptors, Manual Rotation=true2016.0480.2
NetVLADMode=trained, Representation Dimension=256-D2015.1179.9
Paulin et al.Dim.=256K, Retrieval Protocol=Global descriptors2016.0479.3
Gordo et al.Dim.=512, Retrieval Protocol=Global descriptors2016.0479
Deep fully connected + fine-tuningDescriptor Dimension=2562015.1078.9
Babenko et al.Dim.=128, Retrieval Protocol=Global descriptors, Manual Rotation=true2016.0478.9
Tao et al.Retrieval Protocol=Matching / Spatial verif. / QE2016.0478.7
Deep fully connected + VLADDescriptor Dimension=5122015.1078.3
Gordo et al.Representation Dimension=256-D2015.1178.3
Shen et al.Retrieval Protocol=Matching / Spatial verif. / QE2016.0476.2
Babenko et al.Dim.=128, Retrieval Protocol=Global descriptors2016.0475.9
Mikulik et al.Retrieval Protocol=Matching / Spatial verif. / QE, Manual Rotation=true2016.0475.8
Deep fully connectedDescriptor Dimension=2562015.1074.9
Razavian et al.Representation Dimension=256-D2015.1174.2
SIFT + Triang. + Democr. aggr.Descriptor Dimension=10242015.1072
Jégou & ZissermanDim.=1024, Retrieval Protocol=Global descriptors2016.0472
Deep convolutional + Max poolingDescriptor Dimension=2562015.1071.6
XCIT-S12/16Aggregation strategy=class token, Resolution=2242021.0671.5
MSRV+C-SVDDNetK=256, D=8192×8, Dimension reduction (D')=best2014.1270.2
MSRV+C-SVDDNetK=256, D=8192×8, Dimension reduction (D')=5122014.1269.8
MSRV+C-SVDDNetK=256, D=8192×8, Dimension reduction (D')=20482014.1268.6
MSRV+C-SVDDNetK=256, D=8192×8, Dimension reduction (D')=1282014.1268.5
MSRV+K-meansNetK=256, D=8192×8, Dimension reduction (D')=best2014.1266.5
MSRV+K-meansNetK=256, D=8192×8, Dimension reduction (D')=5122014.1266.3
C-SVDDNetK=256, D=8192, Dimension reduction (D')=best2014.1266
C-SVDDNetK=256, D=8192, Dimension reduction (D')=5122014.1265.8
Jégou and ZissermanRepresentation Dimension=256-D2015.1165.7
MSRV+K-meansNetK=256, D=8192×8, Dimension reduction (D')=1282014.1265.3
MSRV+K-meansNetK=256, D=8192×8, Dimension reduction (D')=20482014.1265
C-SVDDNetK=256, D=8192, Dimension reduction (D')=1282014.1264.7
VLAD+adapt+innormK=256, D=16384, Dimension reduction (D')=best2014.1264.6
C-SVDDNetK=256, D=8192, Dimension reduction (D')=20482014.1263.7
FVK=256, D=16384, Dimension reduction (D')=best2014.1262.6
FVK=256, D=16384, Dimension reduction (D')=20482014.1262.6
VLAD+adapt+innormK=256, D=16384, Dimension reduction (D')=1282014.1262.5
K-meansNetK=256, D=8192, Dimension reduction (D')=best2014.1262.5
K-meansNetK=256, D=8192, Dimension reduction (D')=5122014.1262.5
MSRV+C-SVDDNetK=256, D=8192×8, Dimension reduction (D')=642014.1262.5
VLADK=256, D=16384, Dimension reduction (D')=best2014.1262.1
VLADK=256, D=16384, Dimension reduction (D')=20482014.1262.1
SIFT + Triang. + Democr. aggr.Descriptor Dimension=1282015.1061.7
Jégou & ZissermanDim.=128, Retrieval Protocol=Global descriptors2016.0461.7
K-meansNetK=256, D=8192, Dimension reduction (D')=1282014.1261.3
K-meansNetK=256, D=8192, Dimension reduction (D')=20482014.1259.8
C-SVDDNetK=256, D=8192, Dimension reduction (D')=642014.1259.3
MSRV+K-meansNetK=256, D=8192×8, Dimension reduction (D')=642014.1258.3
C-SVDDK=3200, D=12800, Dimension reduction (D')=best2014.1257.4
FVK=256, D=16384, Dimension reduction (D')=5122014.1257
C-SVDDK=3200, D=12800, Dimension reduction (D')=5122014.1257
C-SVDDK=3200, D=12800, Dimension reduction (D')=20482014.1256.8
VLADK=256, D=16384, Dimension reduction (D')=5122014.1256.7
K-meansNetK=256, D=8192, Dimension reduction (D')=642014.1255.5
K-meansK=3200, D=12800, Dimension reduction (D')=best2014.1255.2
K-meansK=3200, D=12800, Dimension reduction (D')=5122014.1254.9
K-meansK=3200, D=12800, Dimension reduction (D')=20482014.1254.5
VLADK=256, D=16384, Dimension reduction (D')=1282014.1254.2
FVK=256, D=16384, Dimension reduction (D')=1282014.1253.8
MSRV+C-SVDDNetK=256, D=8192×8, Dimension reduction (D')=322014.1253.8
C-SVDDK=3200, D=12800, Dimension reduction (D')=1282014.1253.1
C-SVDDNetK=256, D=8192, Dimension reduction (D')=322014.1252.1
K-meansK=3200, D=12800, Dimension reduction (D')=1282014.1251.6
MSRV+K-meansNetK=256, D=8192×8, Dimension reduction (D')=322014.1251.5