UCSD
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Video Novelty Detection | UCSD (test) | AUCROC0.9902 | 14 | |
| Four-class retinal OCT classification | UCSD | Accuracy98.6 | 9 | |
| Crowd Counting | UCSD | MAE0.98 | 8 | |
| Four-class retinal OCT classification | UCSD (5-fold cross-val) | Accuracy97.74 | 5 | |
| View Synthesis | UCSD dataset (test) | SSIM (Full)0.983 | 5 | |
| License Plate Recognition | UCSD-Stills | Recognition Rate98.3 | 2 | |
| Video Anomaly Detection | UCSD Continual Learning setup | Update Time2.5 | 2 | |
| Density Map Estimation | The UCSD | PSNR26.39 | 2 |
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