Image Classification On Clothing1M Using
評価指標
Accuracy
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
比較表
| モデル名 | Accuracy |
|---|---|
| cleannet-transfer-learning-for-scalable-image | 79.90 |
| learning-from-noisy-labels-with-decoupled | 78.23% |
| making-deep-neural-networks-robust-to-label | 80.27 |
| learning-with-noisy-labels-by-efficient-1 | 77.83% |
| learning-to-bootstrap-for-combating-label | 77.5 ± 0.2% |
| meta-label-correction-for-learning-with-weak-1 | 75.78% |
| curriculumnet-weakly-supervised-learning-from | 81.5% |
| enhanced-meta-label-correction-for-coping | 79.35% |
| training-classifiers-that-are-universally | 77.70 |