Regression on FashionGen
460.46RMSELOES (4)
Evaluation results
| Method | Links | |
|---|---|---|
| LOES (4)Layers Selected=5,9,10,11, Backbone=CLIP ViT-B (base)2026.05 | 460.46 | |
| LOES (3)Layers Selected=9,10,11, Backbone=CLIP ViT-B (base)2026.05 | 481.65 | |
| LOES (2)Layers Selected=9,10, Backbone=CLIP ViT-B (base)2026.05 | 486.87 | |
| LastLayers Selected=12, Backbone=CLIP ViT-B (base)2026.05 | 527.19 | |
| LearnableBackbone=CLIP ViT-B (base)2026.05 | 637.31 | |
| Last 3Layers Selected=10,11,12, Backbone=CLIP ViT-B (base)2026.05 | 646.3 |