Fine-grained fashion image retrieval on DARN (test)
69.8MAP (Clothes Length)SuperFashion
Evaluation results
| Method | Links | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| SuperFashionTrain Dataset=DARN, Evaluation Protocol=In-dataset2026.06 | 69.8 | — | — | — | — | — | 39.1 | 86.77 | — | 64.8 | |
| SuperFashionTrain Dataset=FashionAI, Evaluation Protocol=Cross-dataset2026.06 | 46.76 | — | — | — | — | — | 27.3 | 67.55 | — | 41.57 | |
| RPFTrain Dataset=FashionAI, Evaluation Protocol=Cross-dataset2026.06 | 44.87 | — | — | — | — | — | 23.62 | 66.14 | — | 38.81 | |
| ASEN++Train Dataset=FashionAI, Evaluation Protocol=Cross-dataset2026.06 | 44.35 | — | — | — | — | — | 24.08 | 65.68 | — | 38.05 | |
| ASENTrain Dataset=FashionAI, Evaluation Protocol=Cross-dataset2026.06 | 43.67 | — | — | — | — | — | 24.08 | 65.63 | — | 37.46 | |
| MCL-FIRMethod category=CIL methods, Evaluation state=Final (Immediate) accuracy2026.03 | 42.44 | 9.93 | 29.9 | 17.55 | 49.97 | 46.8 | 18.76 | 75.1 | 55.83 | 38.23 | |
| RPFMethod category=Static methods, Evaluation state=Final accuracy2026.03 | 41.98 | 9.91 | 30.08 | 16.17 | 48.9 | 46.63 | 18.96 | 76.16 | 56.03 | 38.06 | |
| ASENet V2+MKDMethod category=Static methods, Evaluation state=Final accuracy2026.03 | 40.1 | 9.76 | 29.15 | 16.23 | 45.7 | 44.53 | 18 | 75.01 | 54.39 | 36.1 | |
| CSNMethod category=Static methods, Evaluation state=Final accuracy2026.03 | 34.89 | 8.16 | 23.94 | 13.87 | 44.9 | 40.9 | 15.2 | 66.47 | 52.37 | 33.18 | |
| ASENet V2Method category=Static methods, Evaluation state=Final accuracy2026.03 | 34.38 | 7.75 | 24.42 | 15.52 | 44.99 | 40.56 | 15.11 | 67.05 | 52.74 | 33.38 | |
| ASENet V2+GeoDCLMethod category=Static methods, Evaluation state=Final accuracy2026.03 | 34.16 | 7.83 | 24.74 | 15.2 | 46.1 | 40.65 | 15.25 | 68.4 | 52.89 | 33.73 | |
| ASENet V2+PTMethod category=Static methods, Evaluation state=Final accuracy2026.03 | 34.14 | 7.78 | 24.73 | 15.17 | 46.12 | 40.62 | 15.22 | 68.35 | 52.83 | 33.65 | |
| ASENgMethod category=Static methods, Evaluation state=Final accuracy2026.03 | 32.94 | 7.44 | 23.68 | 11.34 | 45 | 40.03 | 15.57 | 65.67 | 54.08 | 32.62 | |
| ASENMethod category=Static methods, Evaluation state=Final accuracy2026.03 | 31.93 | 7.48 | 23.38 | 12.31 | 47.44 | 38.98 | 14.92 | 66.66 | 54.56 | 32.81 | |
| ER-basedMethod category=CIL methods, Evaluation state=Final (Immediate) accuracy2026.03 | 31.76 | 6.6 | 23.08 | 11.22 | 44.26 | 39.75 | 14.24 | 66.68 | 53.06 | 32.06 | |
| Multi-head-basedMethod category=CIL methods, Evaluation state=Final (Immediate) accuracy2026.03 | 31.21 | 7.42 | 22.34 | 11.67 | 43.96 | 38.59 | 14.34 | 65.26 | 51.83 | 31.62 |