NUS-WIDE
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Multi-Label Classification | NUS-WIDE (test) | mAP70.4 | 124 | |
| Image Retrieval | NUS-WIDE (test) | MAP89.1 | 104 | |
| Targeted Hashing Attack | NUS-WIDE | t-MAP81.67 | 88 | |
| Image-to-Text Retrieval | NUS-WIDE | mAP@5091.1 | 62 | |
| Text-to-Image Retrieval | NUS-WIDE | mAP@5091.6 | 62 | |
| Image Retrieval | NUS-WIDE | mAP85 | 57 | |
| Image Retrieval | NUS-WIDE | P@100083.91 | 50 | |
| Multi-label Classification | NUS-WIDE 925/81 (unseen) | mAP (Mean Average Precision)53.2 | 43 | |
| Unsupervised Image Hashing | NUS-WIDE | mAP84.4 | 40 | |
| Multi-label classification | NUS-WIDE | mAP47.8 | 38 | |
| Multi-label Classification | NUS-WIDE | mAP70.1 | 36 | |
| Multi-label Image Classification | NUS-WIDE 81 concept labels (test) | F1 (Class)58.7 | 29 | |
| Fine-grained Image Hashing | NUS-WIDE (test) | Collision Probability (%)0.0025 | 18 | |
| Multi-label classification | NUS-WIDE 81 unseen labels (test) | mAP0.603 | 17 | |
| Image Tagging | NUS-WIDE 81 unseen tags | mAP42.2 | 16 | |
| Multi-class image classification | NUS-WIDE geo-tagged (test) | mAP36.2 | 16 | |
| Multi-label Image Classification | NUS-WIDE | CF1 (Top 3)57.8 | 15 | |
| Multi-label Recognition | NUS-WIDE | mAP0.517 | 14 | |
| Multi-label Classification | NUS-WIDE | Precision @ K=330.9 | 14 | |
| Multi-view Clustering | NUS-WIDE | Accuracy64.84 | 14 | |
| Multi-view Clustering | NUS-WIDE 100% aligned | Accuracy67.25 | 14 | |
| Image Tagging | NUS-WIDE 925 seen + 81 unseen tags (test) | MiAP19.1 | 14 | |
| Image-to-Text Retrieval | NUS-WIDE | R@142.9 | 12 | |
| Generalized Zero-Shot Learning | NUS-Wide | mAP56 | 11 | |
| Image Retrieval | NUS-WIDE 21 most frequent concepts (test) | mAP (12 bits)68.7 | 11 |
Showing 25 of 44 rows