Fine-grained fashion image retrieval on DeepFashion (test)
16.6MAP (Texture)RPF
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| RPFMethod category=Static methods, Evaluation state=Final accuracy2026.03 | 16.6 | 8.82 | 14.78 | 7.15 | 4.95 | 10.47 | |
| ASENet V2+MKDMethod category=Static methods, Evaluation state=Final accuracy2026.03 | 15.94 | 7.97 | 14.1 | 6.51 | 4.14 | 9.91 | |
| MCL-FIRMethod category=CIL methods, Evaluation state=Final (Immediate) accuracy2026.03 | 15.56 | 8.06 | 13.38 | 6.61 | 4.29 | 9.59 | |
| ASENet V2Method category=Static methods, Evaluation state=Final accuracy2026.03 | 15.52 | 7.19 | 11.51 | 5.52 | 3.65 | 8.67 | |
| ASENet V2+GeoDCLMethod category=Static methods, Evaluation state=Final accuracy2026.03 | 15.29 | 7.11 | 11.77 | 5.52 | 3.76 | 8.68 | |
| ASENgMethod category=Static methods, Evaluation state=Final accuracy2026.03 | 15.25 | 7.3 | 12.09 | 5.63 | 3.84 | 8.82 | |
| ASENet V2+PTMethod category=Static methods, Evaluation state=Final accuracy2026.03 | 15.2 | 6.99 | 11.99 | 5.21 | 3.69 | 8.6 | |
| ASENMethod category=Static methods, Evaluation state=Final accuracy2026.03 | 15.01 | 7.33 | 3.48 | 6 | 3.77 | 9.12 | |
| CSNMethod category=Static methods, Evaluation state=Final accuracy2026.03 | 14.45 | 6.5 | 11.26 | 4.78 | 3.47 | 8.07 | |
| Multi-head-basedMethod category=CIL methods, Evaluation state=Final (Immediate) accuracy2026.03 | 11.45 | 4.47 | 5.73 | 3.51 | 2.42 | 5.48 | |
| ER-basedMethod category=CIL methods, Evaluation state=Final (Immediate) accuracy2026.03 | 9.42 | 3.41 | 5.23 | 3.38 | 2.43 | 4.7 |