Long Tail Learning On Places Lt
评估指标
Top-1 Accuracy
评测结果
各个模型在此基准测试上的表现结果
比较表格
| 模型名称 | Top-1 Accuracy |
|---|---|
| learning-from-multiple-experts-self-paced | 36.2 |
| inflated-episodic-memory-with-region-self | 39.7 |
| distribution-alignment-a-unified-framework | 39.3 |
| pure-noise-to-the-rescue-of-insufficient-data | 40.5 |
| a-simple-long-tailed-recognition-baseline-via | 49.5 |
| vl-ltr-learning-class-wise-visual-linguistic | 48.0 |
| long-tailed-recognition-using-class-balanced | 38.9 |
| parameter-efficient-long-tailed-recognition | 53.7 |
| rethinking-class-balanced-methods-for-long | 30.8 |
| balanced-meta-softmax-for-long-tailed-visual | 38.7 |
| a-simple-long-tailed-recognition-baseline-via | 47.9 |
| adaptive-parametric-activation | 42.0 |
| parameter-efficient-long-tailed-recognition | 52.2 |
| rsg-a-simple-but-effective-module-for | 39.3 |
| vl-ltr-learning-class-wise-visual-linguistic | 50.1 |
| a-simple-long-tailed-recognition-baseline-via | 49.3 |
| a-simple-long-tailed-recognition-baseline-via | 46.5 |
| generalized-parametric-contrastive-learning | 41.7 |
| improving-image-recognition-by-retrieving | 51.4 |
| retrieval-augmented-classification-for-long | 47.17 |
| test-agnostic-long-tailed-recognition-by-test | 41.3 |
| disentangling-label-distribution-for-long | 38.8 |
| parametric-contrastive-learning | 41.2 |
| difficulty-net-learning-to-predict-difficulty | 41.7 |
| large-scale-long-tailed-recognition-in-an | 34.1 |
| decoupling-representation-and-classifier-for | 37.6 |
| feature-space-augmentation-for-long-tailed | 36.4 |
| nested-collaborative-learning-for-long-tailed | 41.5 |
| long-tail-learning-with-attributes | 38.1 |