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Vehicle Retrieval on VehicleID (Small)

95.5Recall@1PNP-Dq
47.1459.69572.2584.805Jan 15, 2018Jul 20, 2018Jan 23, 2019Jul 29, 2019Feb 1, 2020Aug 6, 2020Feb 9, 2021

Evaluation results

MethodLinks
PNP-DqBatch Size=3842021.0295.5—97.8
Smooth-AP2021.0294.9—97.6
XBMBackbone=ResNet50, Embedding size=128, mode=Contrastive2019.1294.7—96.8
Cont. w/M2021.0294.7—96.8
XBMBackbone=InceptionBN, Embedding size=512, mode=Contrastive2019.1294.6—96.9
PNP-DqBatch Size=1122021.0294.6—97.4
XBMBackbone=GoogleNet, Embedding size=512, mode=Contrastive2019.1294—96.3
FastAPBackbone=ResNet50, Embedding size=5122019.1291.9—96.8
FastAP2021.0291.9—96.8
MSBackbone=InceptionBN, Embedding size=5122019.1291—96.1
DREMLDim=92162019.0988.5—94.8
DivideBackbone=ResNet50, Embedding size=1282019.1287.7—92.9
Divide2021.0287.7—92.9
MIC+marginDim=1282019.0986.9—93.4
MICBackbone=ResNet50, Embedding size=1282019.1286.9—93.4
MIC2021.0286.9—93.4
A-BIERtype=Ensemble2018.0186.3—92.7
A-BIERDim=5122019.0986.3—92.7
A-BIERBackbone=GoogleNet, Embedding size=5122019.1286.3—92.7
A-BIER Learner-3type=Single Learner2018.0186—92.7
MarginDim=128, implementation=ResNet50 re-implementation2019.0985.1—92.4
VANetBackbone=GoogleNet, Embedding size=20482019.1283.3—95.9
BIER Learner-3type=Single Learner2018.0182.6—90.5
BIERtype=Ensemble2018.0182.6—90.6
BIERDim=5122019.0982.6—90.6
BIERBackbone=GoogleNet, Embedding size=5122019.1282.6—90.6
Ours Baseline2018.0178—87.5
GS-TRS loss2018.0175—83
GS-TRS2019.0975—83
GS-TRS2019.1275—83
Mixed Diff+CCL2018.0149—73.5
MixDiff+CCL2019.0949—73.5
GoogLeNet/pool5Backbone=GoogLeNet, Embedding Dimension=10242016.11—41.8—
HDC + ContrastiveEmbedding Dimension=384, Testing Protocol=Multiple Crops2016.11—65.5—
Mixed Diff + CCLBackbone=Mixed Diff, Embedding Dimension=10242016.11—54.6—
VGG + CCLBackbone=VGG, Embedding Dimension=10242016.11—49.2—
VGG + Triplet LossBackbone=VGG, Embedding Dimension=10242016.11—44.4—