Image Retrieval on In-shop Clothes Retrieval Dataset
94.48Recall@1CRT
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| CRTDim=1282022.10 | 94.48 | 99.37 | 99.68 | 99.75 | — | — | |
| Intra-Batch ConnectionsBackbone=ResNet-50, Embedding Dimension=5122021.02 | 92.8 | 98.5 | 99.1 | — | 99.2 | — | |
| IBCDim=5122022.10 | 92.8 | 98.5 | 99.1 | 99.2 | — | — | |
| HIERbackbone=ViT, embedding dimension=3842022.12 | 92.8 | 98.4 | 99 | — | — | — | |
| Hypbackbone=ViT, embedding dimension=1282022.12 | 92.7 | 98.4 | 98.9 | — | — | — | |
| HIERbackbone=ViT, embedding dimension=1282022.12 | 92.7 | 98.4 | 98.9 | — | — | — | |
| Hypbackbone=DINO, embedding dimension=1282022.12 | 92.6 | 98.4 | 99 | — | — | — | |
| HIERbackbone=DINO, embedding dimension=1282022.12 | 92.6 | 98.4 | 98.9 | — | — | — | |
| HIERbackbone=DINO, embedding dimension=3842022.12 | 92.5 | 98.6 | 99 | — | — | — | |
| Hypbackbone=ViT, embedding dimension=3842022.12 | 92.5 | 98.3 | 98.8 | — | — | — | |
| LSCM-GNNDim=5122022.10 | 92.4 | 98.5 | 99.1 | 99.3 | — | — | |
| HIERbackbone=ResNet-50, embedding dimension=5122022.12 | 92.4 | 98.2 | 98.8 | — | — | — | |
| Hypbackbone=DINO, embedding dimension=3842022.12 | 92.4 | 98.4 | 98.9 | — | — | — | |
| Direct Gradient FrameworkEmbedding Dimension=512, Batch Size=2562022.01 | 92.2 | 97.8 | 98.4 | — | — | — | |
| Proxy AnchorBackbone=ResNet-50, Embedding Dimension=5122021.02 | 92.1 | 98.1 | 98.7 | — | 99.2 | — | |
| Direct Gradient FrameworkEmbedding Dimension=512, Batch Size=3842022.01 | 92 | 97.8 | 98.3 | — | — | — | |
| CGD (SG/GS)Backbone=SE-ResNet-50, Dim=1536, Input Size=2562019.03 | 91.9 | 98.1 | 98.7 | 99 | 99.1 | 99.3 | |
| IRTRbackbone=DeiT, embedding dimension=3842022.12 | 91.9 | 98.1 | 98.9 | — | — | — | |
| DR-MSEmbedding Dimension=5122022.01 | 91.7 | 98.1 | 98.7 | — | — | — | |
| Proxy AnchorBackbone=BN-Inception, Embedding Dimension=5122021.02 | 91.5 | 98.1 | 98.8 | — | 99.1 | — | |
| Proxy-anchorEmbedding Dimension=5122022.01 | 91.5 | 98.1 | 98.8 | — | — | — | |
| IRTRDim=3842022.10 | 91.5 | 98.1 | 98.7 | 99 | — | — | |
| PAbackbone=Inception with BatchNorm, embedding dimension=5122022.12 | 91.5 | 98.1 | 98.8 | — | — | — | |
| Direct Gradient FrameworkEmbedding Dimension=512, Batch Size=1282022.01 | 91.4 | 97.7 | 98.4 | — | — | — | |
| IRTRbackbone=DeiT, embedding dimension=1282022.12 | 91.1 | 98.1 | 98.6 | — | — | — | |
| HIERbackbone=DeiT, embedding dimension=1282022.12 | 91 | 98 | 98.6 | — | — | — | |
| CGD (SG/GS)Backbone=ResNet-50, Dim=1536, Input Size=2562019.03 | 90.9 | 98 | 98.7 | 99 | 99.1 | 99.2 | |
| ProxyNCA++Arch=R50, Emb=20482020.04 | 90.9 | 98.2 | 98.9 | 99.1 | 99.4 | — | |
| Learning to RankBackbone=ResNet-50, Embedding Dimension=5122021.02 | 90.9 | 97.7 | 98.5 | — | 98.9 | — | |
| SCTEmbedding Dimension=5122022.01 | 90.9 | 97.5 | 98.2 | — | — | — | |
| Group Loss++Dim=5122022.10 | 90.9 | 97.6 | 98.4 | 98.9 | — | — | |
| Hyp-DeiTDim=1282022.10 | 90.9 | 97.9 | 98.6 | 98.9 | — | — | |
| Hypbackbone=DeiT, embedding dimension=1282022.12 | 90.9 | 97.9 | 98.6 | — | — | — | |
| Direct Gradient FrameworkEmbedding Dimension=512, Batch Size=5122022.01 | 90.8 | 97.2 | 97.9 | — | — | — | |
| HIERbackbone=DeiT, embedding dimension=3842022.12 | 90.6 | 98.1 | 98.6 | — | — | — | |
| Hypbackbone=DeiT, embedding dimension=3842022.12 | 90.5 | 97.8 | 98.5 | — | — | — | |
| contrastive loss + HORDEBackbone=BN-Inception2019.08 | 90.4 | 97.8 | 98.4 | 98.7 | 98.9 | 99 | |
| HORDEArch=I3, Emb=5122020.04 | 90.4 | 97.8 | 98.4 | 98.7 | 98.9 | — | |
| ProxyNCA++Arch=R50, Emb=5122020.04 | 90.4 | 98.1 | 98.8 | 99 | 99.2 | — | |
| ProxyNCA++Arch=R50, Emb=10242020.04 | 90.4 | 98.1 | 98.8 | 99.1 | 99.2 | — | |
| HORDEBackbone=BN-Inception, Embedding Dimension=5122021.02 | 90.4 | 97.8 | 98.4 | — | 98.9 | — | |
| Proxy NCA++Backbone=ResNet-50, Embedding Dimension=5122021.02 | 90.4 | 98.1 | 98.8 | — | 99.2 | — | |
| D & CDim=5122022.10 | 90.4 | 97.6 | — | — | — | — | |
| ProxyNCA++backbone=ResNet-50, embedding dimension=512, larger input images=true2022.12 | 90.4 | 98.1 | 98.8 | — | — | — | |
| Hypbackbone=ResNet-50, embedding dimension=5122022.12 | 90.1 | 98 | 98.7 | — | — | — | |
| XBMbackbone=ResNet-50, embedding dimension=1282022.12 | 89.9 | 97.6 | 98.4 | — | — | — | |
| XBMbackbone=Inception with BatchNorm, embedding dimension=5122022.12 | 89.9 | 97.6 | 98.4 | — | — | — | |
| LMCL*Backbone=ResNet-50, Embedding size=20482018.11 | 89.8 | 97.8 | 98.6 | 98.8 | — | — | |
| Multi-similarity lossBackbone=BN-Inception2019.08 | 89.7 | 97.9 | 98.5 | 98.8 | 99.1 | 99.2 | |
| MSArch=I3, Emb=5122020.04 | 89.7 | 97.9 | 98.5 | 98.8 | 99.1 | — | |
| Multi-similarityBackbone=BN-Inception, Embedding Dimension=5122021.02 | 89.7 | 97.9 | 98.5 | — | 99.1 | — | |
| MSEmbedding Dimension=5122022.01 | 89.7 | 97.9 | 98.5 | — | — | — | |
| MSDim=5122022.10 | 89.7 | 97.9 | 98.5 | 98.8 | — | — | |
| MSbackbone=Inception with BatchNorm, embedding dimension=5122022.12 | 89.7 | 97.9 | 98.5 | — | — | — | |
| DR-MSEmbedding Dimension=512, Batch Size=128, Implementation=Paper Re-implementation2022.01 | 89.6 | 96.4 | 97.4 | — | — | — | |
| NormSoftmaxBackbone=ResNet-50, Embedding size=20482018.11 | 89.4 | 97.8 | 98.7 | 99 | — | — | |
| NormSoftMaxArch=R50, Emb=20482020.04 | 89.4 | 97.8 | 98.7 | 99 | — | — | |
| MSEmbedding Dimension=512, Batch Size=128, Implementation=Paper Re-implementation2022.01 | 89.4 | 96.6 | 97.4 | — | — | — | |
| BFE+Backbone=ResNet-50, Dim=1536, Input Size=2562019.03 | 89.1 | 96.3 | 97.6 | 98.5 | 99.1 | — | |
| NormSoftmaxBackbone=ResNet-50, Embedding size=2048bits2018.11 | 88.8 | 97.8 | 98.5 | 98.8 | — | — | |
| NormSoftmaxBackbone=ResNet-50, Embedding size=5122018.11 | 88.6 | 97.5 | 98.4 | 98.8 | — | — | |
| NormSoftMaxArch=R50, Emb=5122020.04 | 88.6 | 97.5 | 98.4 | 98.8 | — | — | |
| CGD (-/GS)Backbone=BN-Inception, Dim=128, Input Size=2242019.03 | 88.5 | 97.1 | 98 | 98.5 | 98.8 | 98.9 | |
| CGD (SG/GS)Backbone=ResNet-50, Dim=128, Input Size=2242019.03 | 88.4 | 97.2 | 98.1 | 98.4 | 98.7 | 98.8 | |
| MICBackbone=ResNet-50, Embedding Dimension=1282021.02 | 88.2 | 97 | 98 | — | 98.8 | — | |
| MICbackbone=ResNet-50, embedding dimension=1282022.12 | 88.2 | 97 | — | — | — | — | |
| EPSHNEmbedding Dimension=5122019.04 | 87.8 | 95.7 | 96.8 | — | — | — | |
| EasyPositiveEmbedding Dimension=5122022.01 | 87.8 | 95.7 | 96.8 | — | — | — | |
| ABE-8Backbone=GoogleNet, Embedding size=512, Additional attention parameters=true2018.11 | 87.3 | 96.7 | 97.9 | 98.2 | — | — | |
| ABEEmbedding Dimension=5122019.04 | 87.3 | 96.7 | 97.9 | — | — | — | |
| ABE-8Backbone=GoogleNet, Dim=512, Input Size=2562019.03 | 87.3 | 96.7 | 97.9 | 98.2 | 98.5 | 98.7 | |
| ABEBackbone=GoogLeNet, Embedding Dimension=5122021.02 | 87.3 | 96.7 | 97.9 | — | 98.5 | — | |
| NormSoftmaxBackbone=BNInception, Embedding size=10242018.11 | 86.6 | 97 | 98 | 98.5 | — | — | |
| NormSoftmaxBackbone=ResNet-50, Embedding size=1282018.11 | 86.6 | 96.8 | 97.8 | 98.3 | — | — | |
| CGD (SG/GS)Backbone=BN-Inception, Dim=64, Input Size=2242019.03 | 86.6 | 96.3 | 97.4 | 97.9 | 98.2 | 98.4 | |
| NSoftmaxbackbone=ResNet-50, embedding dimension=1282022.12 | 86.6 | 96.8 | 97.8 | — | — | — | |
| NSoftmaxbackbone=ResNet-50, embedding dimension=5122022.12 | 86.6 | 97.5 | 98.4 | — | — | — | |
| CGD (SG/GS)Backbone=ShuffleNet-v2, Dim=1536, Input Size=2242019.03 | 86.1 | 96.9 | 97.8 | 98.4 | 98.6 | 98.7 | |
| Binomial Deviance + HORDEBackbone=GoogleNet2019.08 | 84.4 | 95.4 | 96.8 | 97.4 | 97.8 | 98.1 | |
| A-BIERadversarial=true2018.01 | 83.1 | 95.1 | 96.9 | 97.5 | 97.8 | 98 | |
| A-BIERBackbone=GoogleNet, Embedding size=5122018.11 | 83.1 | 95.1 | 96.9 | 97.5 | — | — | |
| A-BIERBackbone=GoogLeNet, Embedding Dimension=5122021.02 | 83.1 | 95.1 | 96.9 | — | 97.8 | — | |
| A-BIERDim=5122022.10 | 83.1 | 95.1 | 96.9 | 97.5 | — | — | |
| A-BIER Learner-3number of learners=3, adversarial=true2018.01 | 82.8 | 95 | 96.8 | 97.4 | 97.7 | 98 | |
| ProxyNCA++Arch=R50, Emb=2048, global_max_pooling=false, fast_proxies=false2020.04 | 82.5 | 93.5 | 95.4 | 96.3 | 96.8 | — | |
| Fusing-NetDim=5122022.10 | 82.4 | 95.1 | 96.7 | 97.4 | — | — | |
| Binomial Deviance (Ours)Backbone=GoogleNet2019.08 | 81.3 | 94.2 | 95.9 | 96.7 | 97.2 | 97.6 | |
| HTLbackbone=GoogLeNet2018.10 | 80.9 | 94.3 | 95.8 | 97.2 | 97.4 | 97.8 | |
| HTLBackbone=GoogleNet2019.08 | 80.9 | 94.3 | 95.8 | 97.2 | 97.4 | 97.8 | |
| HTLBackbone=BNInception, Embedding size=1282018.11 | 80.9 | 94.3 | 95.8 | — | — | — | |
| HTLBackbone=BN-Inception, Dim=128, Input Size=2242019.03 | 80.9 | 94.3 | 95.8 | 97.2 | 97.4 | 97.8 | |
| HTLbackbone=Inception with BatchNorm, embedding dimension=5122022.12 | 80.9 | 94.3 | 95.8 | — | — | — | |
| DREMLBackbone=ResNet-18, Embedding size=92162018.11 | 78.4 | 93.7 | 95.8 | 96.7 | — | — | |
| BIER2018.01 | 76.9 | 92.8 | 95.2 | 96.2 | 96.7 | 97.1 | |
| BIER2018.10 | 76.9 | 92.8 | 95.2 | 96.2 | 96.7 | 97.1 | |
| BIEREmbedding Dimension=5122019.04 | 76.9 | 92.8 | 95.2 | — | — | — | |
| BIER Learner-3number of learners=32018.01 | 76.4 | 92.7 | 95 | 96.1 | 96.6 | 97 | |
| A-N Samplingbackbone=GoogLeNet2018.10 | 75.3 | 91.8 | 94.3 | 96.2 | 96.7 | 97.5 | |
| LMCLBackbone=ResNet-50, Embedding size=5122018.11 | 73.3 | 90.5 | 93.1 | 94.3 | — | — | |
| Ours Baseline2018.01 | 70.6 | 90.5 | 93.4 | 94.7 | 95.5 | 96.1 |