Long Tail Learning On Coco Mlt
Metrics
Average mAP
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Average mAP |
|---|---|
| distribution-balanced-loss-for-multi-label | 53.55 |
| probability-guided-loss-for-long-tailed-multi | 54.43 |
| learning-imbalanced-datasets-with-label | 40.53 |
| relay-backpropagation-for-effective-learning | 46.97 |
| multi-label-image-recognition-with-graph | 44.24 |
| focal-loss-for-dense-object-detection | 49.46 |
| lmpt-prompt-tuning-with-class-specific | 58.97 |
| large-scale-long-tailed-recognition-in-an | 45.83 |
| long-tailed-multi-label-visual-recognition-by | 56.90 |
| class-balanced-loss-based-on-effective-number | 49.06 |
| learning-transferable-visual-models-from | 60.17 |
| learning-transferable-visual-models-from | 56.19 |
| lmpt-prompt-tuning-with-class-specific | 66.19 |