In-shop Clothing Retrieval on DeepFashion In-Shop
95Top-1 AccuracySTIR-Symmetric
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| STIR-SymmetricEmbedding Size=384, Backbone=ViT-Triplet, n=5, Approach=Reranking approaches2023.04 | 95 | 98.5 | 99.1 | 99.3 | — | — | — | 99.7 | |
| STIREmbedding Size=384, Backbone=ViT-Triplet, n=5, Approach=Reranking approaches2023.04 | 94.9 | 98.5 | 99.1 | 99.3 | — | — | — | 99.7 | |
| HypVitEmbedding Size=128, Approach=Embedding-based retrieval2023.04 | 92.7 | 98.4 | 98.9 | 99.1 | — | — | — | — | |
| Hyp-DINOEmbedding Size=128, Approach=Embedding-based retrieval2023.04 | 92.6 | 98.4 | 99 | 99.2 | — | — | — | — | |
| HypVitEmbedding Size=384, Approach=Embedding-based retrieval2023.04 | 92.5 | 98.3 | 98.8 | 99.1 | — | — | — | — | |
| Hyp-DINOEmbedding Size=384, Approach=Embedding-based retrieval2023.04 | 92.4 | 98.4 | 98.9 | 99.1 | — | — | — | — | |
| ViT-TripletEmbedding Size=384, Approach=Embedding-based retrieval2023.04 | 92.1 | 98.5 | 99.1 | 99.3 | — | — | — | 99.7 | |
| IRTREmbedding Size=384, Backbone=DeiT-s, Approach=Embedding-based retrieval2023.04 | 91.9 | 98.1 | 98.7 | 98.9 | — | — | — | — | |
| ABE# of Params (M)=102019.08 | 87.3 | 96.7 | 97.9 | 98.2 | 98.5 | 98.7 | — | — | |
| A-BIER# of Params (M)=52019.08 | 83.1 | 95.1 | 96.9 | 97.5 | 97.8 | 98 | — | — | |
| HTL# of Params (M)=52019.08 | 80.9 | 94.3 | 95.8 | 97.2 | 97.4 | 97.8 | — | — | |
| BIER# of Params (M)=52019.08 | 76.9 | 92.8 | 95.2 | 96.2 | 96.7 | 97.1 | — | — | |
| VAM# of Params (M)=62019.08 | 66.6 | 88.7 | 92.3 | — | — | — | — | — | |
| HDC# of Params (M)=52019.08 | 62.1 | 84.9 | 89 | 91.2 | 92.3 | 93.1 | — | — | |
| FashionNet# of Params (M)=1342019.08 | 53.2 | 72.5 | 76.4 | 77 | 79 | 80 | — | — | |
| Corbiére et al.# of Params (M)=252019.08 | 39 | 71.8 | 78.1 | 81.6 | 83.8 | 85.6 | — | — | |
| DARN# of Params (M)=1052019.08 | 38 | 56 | 67.5 | 70 | 72 | 72.5 | — | — | |
| SOTAInput size=Large (320x320), Backbone=ResNet-50-IBN-A, Evaluation Setting=Instance-based2021.04 | 37.8 | 71.1 | 77.2 | — | — | 84.1 | 43 | — | |
| CTLInput size=Large (320x320), Backbone=ResNet-50-IBN-A, Evaluation Setting=Instance-based2021.04 | 37.6 | 71.1 | 77.6 | — | — | 84.7 | 43.1 | — | |
| CTLInput size=Large (320x320), Backbone=ResNet-50-IBN-A, Evaluation Setting=Centroid-based2021.04 | 37.3 | 71.2 | 77.7 | — | — | 85 | 49.2 | — | |
| WTBI# of Params (M)=602019.08 | 35 | 47 | 50.6 | 51.5 | 53 | 54.5 | — | — | |
| RCCapsNet# of Params (M)=4.52019.08 | 33.9 | 75.2 | 84.6 | 88.6 | 91 | 92.6 | — | — | |
| SCCapsNet# of Params (M)=2.52019.08 | 32.1 | 72.4 | 81.8 | 86.3 | 89.2 | 90.9 | — | — | |
| CTLInput size=Small (256x128), Backbone=ResNet-50, Evaluation Setting=Instance-based2021.04 | 29.8 | 61.2 | 68.5 | — | — | 77 | 34.4 | — | |
| CTLInput size=Small (256x128), Backbone=ResNet-50, Evaluation Setting=Centroid-based2021.04 | 29.4 | 61.3 | 68.9 | — | — | 77.4 | 40.4 | — | |
| SOTAInput size=Small (256x128), Backbone=ResNet-50, Evaluation Setting=Instance-based2021.04 | 28.1 | 58.3 | 65.5 | — | — | 74.2 | 32.4 | — | |
| HiMulConE2022.04 | — | — | — | — | — | — | 35.6 | — | |
| SupCon2022.04 | — | — | — | — | — | — | 31.5 | — |