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Image Retrieval on CARS196 (test)

89.3Recall@1NormSoftmax
70.68475.51780.3585.183Apr 2, 2018Apr 14, 2019Apr 25, 2020May 7, 2021May 19, 2022May 31, 2023Jun 12, 2024

Evaluation results

MethodLinks
NormSoftmaxEmbedding dimension=2048, Net=ResNet-502018.1189.394.196.498————
NormSoftmaxd=cos, Architecture=ResNet-502020.0389.394.196.498————
Cross-Entropyd=cos, Architecture=ResNet-502020.0389.393.996.698.499.399.7——
Cross-Entropyd=l2, Architecture=ResNet-502020.0389.193.796.598.19999.4——
NormSoftmaxEmbedding dimension=2048, Net=ResNet-50, Output format=bits2018.1188.793.796.498————
LMCL*Embedding dimension=2048, Net=ResNet-502018.1188.393.195.797.4————
Proxy-AnchorEmbedding size=512, Backbone=BN-Inception, Image Size=256x2562020.0388.393.195.797.5————
ABE + HORDEBackbone=GoogleNet, Evaluation Protocol=high-order moments concatenation + PCA2019.088893.29697.99999.5——
NormSoftmaxEmbedding dimension=1024, Net=BNInception2018.1187.993.296.298.1————
ABE + HORDEBackbone=GoogleNet, Evaluation Protocol=standard2019.0886.49295.397.498.699.3——
contrastive loss + HORDEBackbone=BN-Inception, Evaluation Protocol=high-order moments concatenation + PCA2019.0886.291.995.197.298.599.4——
Proxy-AnchorEmbedding size=512, Backbone=BN-Inception, Image Size=224x2242020.0386.191.79597.3————
DREMLEmbedding dimension=576, Net=ResNet-182018.118691.79597.2————
DREMLDim=9216, Backbone=Inception-BN2020.038691.795———76.4—
DREMLd=cos, Architecture=ResNet-182020.038691.79597.2————
ABE-8Embedding Size=512, Backbone=GoogLeNet2018.0485.290.59496.1————
ABEBackbone=GoogleNet, Evaluation Protocol=ensemble2019.0885.290.59496.1————
ABE-8Embedding dimension=512, Net=GoogLeNet with attention2018.1185.290.59496.1————
ABEDim=512, Backbone=Inception-BN2020.0385.290.594—————
ABEEmbedding size=512, Backbone=GoogleNet, Image Size=224x2242020.0385.290.59496.1————
ABEEmbedding size=5122020.0285.290.59496.1————
ABEd=cos, Architecture=GoogLeNet2020.0385.290.59496.1————
D&CDim=128, Backbone=Inception-BN2020.0384.690.794.1———70.3—
D&Cd=cos, Architecture=ResNet-502020.0384.690.794.196.5————
SOFT-TRIPLEDim=512, Backbone=Inception-BN2020.0384.590.794.5———70.1—
SoftTripleEmbedding size=512, Backbone=BN-Inception, Image Size=224x2242020.0384.590.794.596.9————
NormSoftmaxEmbedding dimension=512, Net=ResNet-502018.1184.290.494.496.9————
Multi-similarity lossBackbone=BN-Inception, Evaluation Protocol=standard2019.0884.190.49496.59898.9——
MSEmbedding size=512, Backbone=BN-Inception, Image Size=224x2242020.0384.190.49496.5————
Multi-SimiEmbedding size=5122020.0284.190.49496.5————
Multi-Similarityd=cos, Architecture=BN-Inception2020.0384.190.49496.59898.9——
contrastive loss + HORDEBackbone=BN-Inception, Evaluation Protocol=standard2019.0883.990.394.196.398.399.2——
HORDE + Contr.Dim=512, Backbone=Inception-BN2020.0383.990.394.1—————
Contra+HORDEEmbedding size=512, Backbone=BN-Inception, Image Size=224x2242020.0383.990.394.196.3————
ABE-8Embedding Size=384, Backbone=GoogLeNet2018.0483.889.793.295.5————
HDCd=cos, Architecture=GoogLeNet2020.0383.889.893.696.297.898.9——
CircleLossEmbedding size=5122020.0283.489.894.196.5————
Binomial Deviance + HORDEBackbone=GoogleNet, Evaluation Protocol=high-order moments concatenation + PCA2019.0883.289.693.696.39898.8——
EPSHNd=cos, Architecture=ResNet-502020.0382.789.393—————
MICDim=128, Backbone=Inception-BN2020.0382.689.193.2———68.4—
ABE-4Embedding Size=512, Backbone=GoogLeNet2018.0482.589.19395.5————
ABE-4Embedding Size=384, Backbone=GoogLeNet2018.0482.288.692.695.6————
RankDim=1536, Backbone=Inception-BN2020.0382.189.393.7———71.8—
A-BierEmbedding Size=512, Backbone=GoogLeNet2018.04828993.296.1————
DVMLBackbone=GoogleNet, Evaluation Protocol=standard2019.088288.493.396.3————
A-BIERBackbone=GoogleNet, Evaluation Protocol=ensemble2019.08828993.296.197.898.7——
A-BIEREmbedding dimension=512, Net=GoogLeNet2018.11828993.296.1————
DVMLDim=512, Backbone=Inception-BN2020.038288.493.3———67.6—
A-BIERDim=512, Backbone=Inception-BN2020.03828993.2—————
A-BIEREmbedding size=512, Backbone=GoogleNet, Image Size=224x2242020.03828993.296.1————
ABIEREmbedding size=5122020.02828993.296.1————
PADS (Margin + IBN)Dim=512, Backbone=Inception-BN, IBN=true2020.0381.788.393———68.2—
NormSoftmaxEmbedding dimension=128, Net=ResNet-502018.1181.688.793.496.3————
Binomial Deviance + HORDEBackbone=GoogleNet, Evaluation Protocol=standard2019.0881.588.592.795.497.498.6——
HTLdepth=162018.1081.48892.795.797.499——
HTLBackbone=GoogleNet, Evaluation Protocol=standard2019.0881.48892.795.797.499——
HTLEmbedding dimension=512, Net=BNInception2018.1181.48892.795.7————
HTLDim=512, Backbone=Inception-BN2020.0381.48892.7—————
HTLEmbedding size=512, Backbone=BN-Inception, Image Size=224x2242020.0381.48892.795.7————
HTLEmbedding size=5122020.0281.48892.795.7————
HTLd=cos, Architecture=GoogLeNet2020.0381.48892.795.797.499——
UDONPre-training=CLIP2024.0680——————85.8
Margin (Re-implemented)Dim=512, Backbone=Inception-BN, IBN=true2020.0379.786.991.4———67.2—
MarginEmbedding Size=128, Backbone=ResNet-502018.0479.686.591.995.1————
MarginEmbedding dimension=128, Net=ResNet-502018.1179.686.591.995.1————
MarginDim=128, Backbone=Inception-BN2020.0379.686.590.1———69.1—
MarginEmbedding size=128, Backbone=ResNet50, Image Size=224x2242020.0379.686.591.995.1————
Baseline2018.1079.287.292.195.297.398.6——
ABE (Ours)Backbone=GoogleNet, Evaluation Protocol=ensemble2019.0879.287.19295.297.398.7——
HDMLBackbone=GoogleNet, Evaluation Protocol=standard2019.0879.187.192.195.5————
HDMLBase Loss=N-pair2019.0379.187.192.195.5————
HDMLDim=512, Backbone=Inception-BN2020.0379.187.192.1———69.7—
Proxy-AnchorEmbedding size=64, Backbone=BN-Inception, Image Size=224x2242020.0378.88792.295.5————
SoftTripleEmbedding size=64, Backbone=BN-Inception, Image Size=224x2242020.0378.686.691.895.4————
Binomial Deviance (Ours)Backbone=GoogleNet, Evaluation Protocol=standard2019.0878.28691.394.697.198.3——
BIER2018.107885.891.195.197.398.7——
BIERBackbone=GoogleNet, Evaluation Protocol=ensemble2019.087885.891.195.197.398.7——
MSEmbedding size=64, Backbone=BN-Inception, Image Size=224x2242020.0377.385.390.594.2————
ABE-2Embedding Size=384, Backbone=GoogLeNet2018.0477.285.190.594.2————
ABE-2Embedding Size=512, Backbone=GoogLeNet2018.0476.884.990.294————
HTGDim=512, Backbone=Inception-BN2020.0376.584.790.4—————
contrastive loss + HORDEBackbone=GoogleNet, Evaluation Protocol=standard2019.0876.285.290.89597.298.8——
DAMLBase Loss=N-pair2019.0375.183.889.793.5————
Triplet loss + HORDEBackbone=GoogleNet, Evaluation Protocol=standard2019.087482.989.493.796.498——
RLL-HEmbedding size=512, Backbone=BN-Inception, Image Size=224x2242020.037483.690.194.1————
LMCLEmbedding dimension=512, Net=ResNet-502018.1173.981.787.491.5————
HDCEmbedding Size=384, Backbone=GoogLeNet2018.0473.783.289.593.8————
HDC2018.1073.783.289.593.896.798.4——
HDCBackbone=GoogleNet, Evaluation Protocol=ensemble2019.0873.783.289.593.896.798.4——
HDCEmbedding dimension=384, Net=GoogLeNet2018.1173.783.289.593.8————
HDCEmbedding size=384, Backbone=GoogleNet, Image Size=224x2242020.0373.783.289.593.8————
HDCEmbedding size=3842020.0273.783.289.593.8————
DAMLRMMBackbone=GoogleNet, Evaluation Protocol=standard2019.0873.582.689.193.5————
Proxy NCAEmbedding Size=64, Backbone=InceptionBN2018.0473.282.486.487.8————
Proxy NCAEmbedding dimension=64, Net=BNInception2018.1173.282.486.488.7————
Proxy-NCAEmbedding size=64, Backbone=BN-Inception, Image Size=224x2242020.0373.282.486.487.8————
Proxy-NCAd=cos, Architecture=BN-Inception2020.0373.282.486.488.7————
contrastive loss (Ours)Backbone=GoogleNet, Evaluation Protocol=standard2019.0872.281.388.192.695.697.8——
Angular LossEmbedding Size=512, Backbone=GoogLeNet2018.0471.481.487.592.1————
Angular lossBackbone=GoogleNet, Evaluation Protocol=standard2019.0871.481.487.592.1————