Aesthetics Quality Assessment 벤치마크
Aesthetics Quality Assessment on Image Aesthetics dataset
Accuracy
- 2018-06-01 — CNNPOR: Accuracy 70.05
- 2019-06-01 — SORD: Accuracy 72.03
- 2021-03-25 — POE: Accuracy 72.44
- 2022-06-06 — OrdinalCLIP: Accuracy 73.05
| Rank | Model | Accuracy | MAE | Paper | Code | Year |
|---|---|---|---|---|---|---|
| 1 | OrdinalCLIP | 73.05 | 0.280 | OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression | xk-huang/OrdinalCLIP | 2022 |
| 2 | POE | 72.44 | 0.287 | Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression | Li-Wanhua/POEs | 2021 |
| 3 | SORD | 72.03 | 0.290 | Soft Labels for Ordinal Regression | 2019 | |
| 4 | CNNPOR | 70.05 | 0.316 | A Constrained Deep Neural Network for Ordinal Regression | 2018 |