Fine-grained Image Retrieval on FashionAI, DeepFashion, and DARN Sequential
47.35Total Training Time (h)Multi-head-based
Evaluation Results
| Method | Links | |
|---|---|---|
| Multi-head-basedTraining Type=CIL methods2026.03 | 47.35 | |
| MCL-FIRTraining Type=CIL methods2026.03 | 65.32 | |
| CSNTraining Type=Static methods2026.03 | 75.23 | |
| ASENet_V2Training Type=Static methods2026.03 | 77.07 | |
| ER-basedTraining Type=CIL methods2026.03 | 84.21 | |
| ASENgTraining Type=Static methods2026.03 | 155.17 | |
| ASENet_V2+GeoDCLTraining Type=Static methods2026.03 | 202.41 | |
| ASENet_V2+PTTraining Type=Static methods2026.03 | 202.42 | |
| ASENet_V2+MKDTraining Type=Static methods2026.03 | 209.7 | |
| ASENTraining Type=Static methods2026.03 | 326 | |
| RPFTraining Type=Static methods2026.03 | 469.86 |