Long Tail Learning On Voc Mlt
평가 지표
Average mAP
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | Average mAP |
|---|---|
| large-scale-long-tailed-recognition-in-an | 71.02 |
| distribution-balanced-loss-for-multi-label | 78.94 |
| focal-loss-for-dense-object-detection | 73.88 |
| probability-guided-loss-for-long-tailed-multi | 80.37 |
| relay-backpropagation-for-effective-learning | 75.38 |
| long-tailed-multi-label-visual-recognition-by | 81.44 |
| learning-transferable-visual-models-from | 85.77 |
| lmpt-prompt-tuning-with-class-specific | 85.44 |
| lmpt-prompt-tuning-with-class-specific | 87.88 |
| class-balanced-loss-based-on-effective-number | 75.24 |
| learning-imbalanced-datasets-with-label | 70.73 |
| multi-label-image-recognition-with-graph | 68.92 |
| learning-transferable-visual-models-from | 84.30 |