Fine-grained Visual Categorization on Food-101 (test)
98.6AccuracyProposed (CAP)
Evaluation results
| Method | Links | |
|---|---|---|
| Proposed (CAP)Transfer/Joint Learning Strategy=false2021.01 | 98.6 | |
| GPipeTransfer/Joint Learning Strategy=false2021.01 | 93 | |
| JDNetTransfer/Joint Learning Strategy=true2021.01 | 91.2 | |
| MSMVFATransfer/Joint Learning Strategy=false2021.01 | 90.6 | |
| DSTLTransfer/Joint Learning Strategy=true2021.01 | 90.4 | |
| WISERTransfer/Joint Learning Strategy=false2021.01 | 90.3 | |
| ZS_EnEvaluation Protocol=Zero-shot2023.11 | 86.78 | |
| CLIPBackbone=ViT-B/16, Evaluation Protocol=Zero-shot2023.11 | 86.11 | |
| Oracle ADAPTBP-free=true, Evaluation Protocol=Transductive2025.08 | 85.74 | |
| ADAPTBP-free=true, Evaluation Protocol=Transductive2025.08 | 85.15 | |
| ADAPTBP-free=true, Evaluation Protocol=Online2025.08 | 83.81 | |
| CLIPBP-free=N/A, Evaluation Protocol=Online2025.08 | 83.8 | |
| CLIPBackbone=RN101, Evaluation Protocol=Zero-shot2023.11 | 80.54 | |
| CLIPBackbone=ViT-B/32, Evaluation Protocol=Zero-shot2023.11 | 80.47 | |
| CLIPBackbone=RN50, Evaluation Protocol=Zero-shot2023.11 | 77.32 |