Deep Metric Learning on CARS196 (test)
89.6R@1MS + Metrix
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| MS + MetrixBackbone=ResNet-50, Embedding size=512, Metrix variant=feature mixup2021.06 | 89.6 | 94.2 | 96 | — | — | |
| PA + MetrixBackbone=ResNet-50, Embedding size=512, Metrix variant=feature mixup2021.06 | 89.1 | 93.6 | 96.7 | — | — | |
| PA+NIRBackbone=ResNet-50, Dimension=512, combined_pooling=true2022.03 | 89.1 | 93.4 | — | 75 | — | |
| ProxyNCA++ + MetrixBackbone=ResNet-50, Embedding size=512, Metrix variant=feature mixup2021.06 | 88.5 | 93.4 | 96.5 | — | — | |
| Intra-Batch ConnectionsEvaluation Protocol=Standard2021.02 | 88.1 | — | — | — | — | |
| PA+NIRBackbone=IBN, Dimension=512, combined_pooling=true2022.03 | 87.9 | 92.8 | — | 73.7 | — | |
| PA+NIRBackbone=ResNet-50, Dimension=5122022.03 | 87.7 | 92.5 | — | 74.2 | — | |
| DiVABackbone=ResNet-50, Dimension=5122022.03 | 87.6 | 92.9 | — | 72.2 | — | |
| PA+NIRBackbone=IBN, Dimension=5122022.03 | 87.1 | 92.5 | — | 73.1 | — | |
| DRMLBackbone=IBN, Dimension=5122022.03 | 86.9 | 92.1 | — | 72.1 | — | |
| R-Margin + MSDFABaseline Objective=Relaxed Margin Loss, beta=0.6, S2SD Variant=Multiscale Self-Distillation with Features and Affinities, Backbone=ResNet-502020.09 | 86.81 | — | — | 71.48 | — | |
| ProxyAnchorBackbone=IBN, Dimension=512, combined_pooling=true2022.03 | 86.8 | 91.6 | — | — | — | |
| Intra-Batch ConnectionsEvaluation Protocol=Reality Check (Musgrave et al., 2020)2021.02 | 86.7 | — | — | — | — | |
| PA+MemVirBackbone=IBN, Dimension=5122022.03 | 86.7 | 92 | — | — | — | |
| SoftTripleBackbone=ResNet-50, Embedding size=5122021.06 | 86.5 | 91.9 | 95.3 | — | — | |
| ProxyNCA++Backbone=ResNet-50, Embedding size=512, source=reported2021.06 | 86.5 | 92.5 | 95.7 | — | — | |
| PA+NIRBackbone=ResNet-50, Dimension=128, combined_pooling=true2022.03 | 86.5 | 92 | — | 72.7 | — | |
| Margin + MSDFABaseline Objective=Margin Loss, beta=1.2, S2SD Variant=Multiscale Self-Distillation with Features and Affinities, Backbone=ResNet-502020.09 | 86.45 | — | — | 71.46 | — | |
| DREMLDim=92162020.03 | 86 | 91.7 | 95 | 76.4 | — | |
| Multisimilarity + MSDFABaseline Objective=Multisimilarity Loss, S2SD Variant=Multiscale Self-Distillation with Features and Affinities, Backbone=ResNet-502020.09 | 85.89 | — | — | 71.45 | — | |
| R-Margin + MSDFBaseline Objective=Relaxed Margin Loss, beta=0.6, S2SD Variant=Multiscale Self-Distillation with Features, Backbone=ResNet-502020.09 | 85.78 | — | — | 72.24 | — | |
| Multisimilarity + MSDFBaseline Objective=Multisimilarity Loss, S2SD Variant=Multiscale Self-Distillation with Features, Backbone=ResNet-502020.09 | 85.69 | — | — | 72.77 | — | |
| Margin + MSDFBaseline Objective=Margin Loss, beta=1.2, S2SD Variant=Multiscale Self-Distillation with Features, Backbone=ResNet-502020.09 | 85.55 | — | — | 71.68 | — | |
| ProxyGMLBackbone=IBN, Dimension=5122022.03 | 85.5 | 91.8 | — | 72.4 | — | |
| PA+NIRBackbone=ResNet-50, Dimension=1282022.03 | 85.3 | 91.1 | — | 72.1 | — | |
| ABEDim=5122020.03 | 85.2 | 90.5 | 94 | — | — | |
| DCML-MDWBackbone=ResNet-50, Dimension=5122022.03 | 85.2 | 91.8 | — | 73.9 | — | |
| Cont + MetrixBackbone=ResNet-50, Embedding size=512, Metrix variant=feature mixup2021.06 | 85.1 | 91.1 | 94.6 | — | — | |
| R-Margin + MSDBaseline Objective=Relaxed Margin Loss, beta=0.6, S2SD Variant=Multiscale Self-Distillation, Backbone=ResNet-502020.09 | 85.01 | — | — | 71.67 | — | |
| R-Margin + DSDBaseline Objective=Relaxed Margin Loss, beta=0.6, S2SD Variant=Dual Self-Distillation, Backbone=ResNet-502020.09 | 84.64 | — | — | 70.87 | — | |
| D&CDim=1282020.03 | 84.6 | 90.7 | 94.1 | 70.3 | — | |
| Div&ConqBackbone=ResNet-50, Dimension=1282022.03 | 84.6 | 90.7 | — | 70.3 | — | |
| SOFT-TRIPLEDim=5122020.03 | 84.5 | 90.7 | 94.5 | 70.1 | — | |
| Multisimilarity + MSDBaseline Objective=Multisimilarity Loss, S2SD Variant=Multiscale Self-Distillation, Backbone=ResNet-502020.09 | 83.98 | — | — | 71.34 | — | |
| HORDE + contrastive lossDim=5122020.03 | 83.9 | 90.3 | 94.1 | — | — | |
| Margin + MSDBaseline Objective=Margin Loss, beta=1.2, S2SD Variant=Multiscale Self-Distillation, Backbone=ResNet-502020.09 | 83.63 | — | — | 69.8 | — | |
| Multisimilarity + DSDBaseline Objective=Multisimilarity Loss, S2SD Variant=Dual Self-Distillation, Backbone=ResNet-502020.09 | 83.51 | — | — | 70.3 | — | |
| Ours (Margin + PADS)Dim=1282020.03 | 83.5 | 89.7 | 93.8 | 68.8 | — | |
| PADSBackbone=ResNet-50, Dimension=1282022.03 | 83.5 | 89.7 | — | 68.8 | — | |
| CircleBackbone=ResNet-50, Dimension=5122022.03 | 83.4 | 89.7 | — | — | — | |
| RankMIBackbone=ResNet-50, Dimension=1282022.03 | 83.3 | 89.8 | — | 69.4 | — | |
| Margin + DSDBaseline Objective=Margin Loss, beta=1.2, S2SD Variant=Dual Self-Distillation, Backbone=ResNet-502020.09 | 83.19 | — | — | 69.28 | — | |
| EPSHNBackbone=ResNet-50, Dimension=5122022.03 | 82.7 | 89.3 | — | — | — | |
| MICDim=1282020.03 | 82.6 | 89.1 | 93.2 | 68.4 | — | |
| MICBackbone=ResNet-50, Dimension=1282022.03 | 82.6 | 89.1 | — | 68.4 | — | |
| R-MarginBaseline Objective=Relaxed Margin Loss, beta=0.6, Backbone=ResNet-502020.09 | 82.37 | — | — | 68.66 | — | |
| RankDim=15362020.03 | 82.1 | 89.3 | 93.7 | 71.8 | — | |
| DVMLDim=5122020.03 | 82 | 88.4 | 93.3 | 67.6 | — | |
| A-BIERDim=5122020.03 | 82 | 89 | 93.2 | — | — | |
| MultisimilarityBaseline Objective=Multisimilarity Loss, Backbone=ResNet-502020.09 | 81.68 | — | — | 69.43 | — | |
| HTLDim=5122020.03 | 81.4 | 88 | 92.7 | — | — | |
| MarginBaseline Objective=Margin Loss, beta=1.2, Backbone=ResNet-502020.09 | 79.86 | — | — | 67.36 | — | |
| MarginDim=1282020.03 | 79.6 | 86.5 | 90.1 | 69.1 | — | |
| HDMLDim=5122020.03 | 79.1 | 87.1 | 92.1 | 69.7 | — | |
| TripletBackbone=ResNet-50, Embedding size=5122021.06 | 77.3 | 85.4 | 90.8 | — | — | |
| HTGDim=5122020.03 | 76.5 | 84.7 | 90.4 | — | — | |
| MarginObjective=Margin, Self-Distillation=None2020.09 | — | — | — | — | 32.5 | |
| Margin + DSDObjective=Margin, Self-Distillation=DSD2020.09 | — | — | — | — | 34.01 | |
| Margin + MSDObjective=Margin, Self-Distillation=MSD2020.09 | — | — | — | — | 34.64 | |
| Margin + MSDFObjective=Margin, Self-Distillation=MSDF2020.09 | — | — | — | — | 35.26 | |
| Margin + MSDFAObjective=Margin, Self-Distillation=MSDFA2020.09 | — | — | — | — | 35.98 | |
| MultisimilarityObjective=Multisimilarity, Self-Distillation=None2020.09 | — | — | — | — | 31.92 | |
| Multisimilarity + DSDObjective=Multisimilarity, Self-Distillation=DSD2020.09 | — | — | — | — | 33.67 | |
| Multisimilarity + MSDObjective=Multisimilarity, Self-Distillation=MSD2020.09 | — | — | — | — | 34.67 | |
| Multisimilarity + MSDFObjective=Multisimilarity, Self-Distillation=MSDF2020.09 | — | — | — | — | 35.52 | |
| Multisimilarity + MSDFAObjective=Multisimilarity, Self-Distillation=MSDFA2020.09 | — | — | — | — | 35.13 | |
| R-MarginObjective=R-Margin, Self-Distillation=None2020.09 | — | — | — | — | 34.57 | |
| R-Margin + DSDObjective=R-Margin, Self-Distillation=DSD2020.09 | — | — | — | — | 35.12 | |
| R-Margin + MSDObjective=R-Margin, Self-Distillation=MSD2020.09 | — | — | — | — | 35.78 | |
| R-Margin + MSDFObjective=R-Margin, Self-Distillation=MSDF2020.09 | — | — | — | — | 37.32 | |
| R-Margin + MSDFAObjective=R-Margin, Self-Distillation=MSDFA2020.09 | — | — | — | — | 37.67 |