Aesthetics Quality Assessment On Image
Metriken
Accuracy
MAE
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Accuracy | MAE |
|---|---|---|
| ordinalclip-learning-rank-prompts-for | 73.05 | 0.280 |
| soft-labels-for-ordinal-regression | 72.03 | 0.290 |
| learning-probabilistic-ordinal-embeddings-for | 72.44 | 0.287 |
| a-constrained-deep-neural-network-for-ordinal | 70.05 | 0.316 |