Long Tail Learning On Inaturalist 2018
평가 지표
Top-1 Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | Top-1 Accuracy |
|---|---|
| disentangling-label-distribution-for-long | 70.0% |
| decoupling-representation-and-classifier-for | 69.5% |
| distribution-alignment-a-unified-framework | 70.6% |
| targeted-supervised-contrastive-learning-for | 69.7% |
| generalized-parametric-contrastive-learning | 79.8% |
| batchformer-learning-to-explore-sample | 74.1% |
| distilling-virtual-examples-for-long-tailed | 73.44% |
| escaping-saddle-points-for-effective | 70.1 |
| feature-space-augmentation-for-long-tailed | 65.9% |
| rethinking-the-value-of-labels-for-improving | 68.1% |
| deit-lt-distillation-strikes-back-for-vision | 75.1% |
| parameter-efficient-long-tailed-recognition | 80.4% |
| improving-calibration-for-long-tailed-1 | 71.6% |
| rsg-a-simple-but-effective-module-for | 70.3% |
| vl-ltr-learning-class-wise-visual-linguistic | 81.0% |
| nested-collaborative-learning-for-long-tailed | 74.2% |
| long-tailed-recognition-via-weight-balancing | 70.2% |
| contrastive-learning-based-hybrid-networks | 68.1% |
| posterior-re-calibration-for-imbalanced | 67.9% |
| parametric-contrastive-learning | 75.2% |
| class-balanced-distillation-for-long-tailed | 75.3% |
| rethinking-class-balanced-methods-for-long | 67.5% |
| probabilistic-contrastive-learning-for-long | 75.8% |
| class-balanced-distillation-for-long-tailed | 73.6% |
| balanced-contrastive-learning-for-long-tailed-1 | 71.8% |
| reslt-residual-learning-for-long-tailed | 72.9% |
| test-agnostic-long-tailed-recognition-by-test | 72.9% |
| mdcs-more-diverse-experts-with-consistency | 75.6% |
| harnessing-hierarchical-label-distribution | 73.21% |
| metasaug-meta-semantic-augmentation-for-long | 68.75% |
| parameter-efficient-long-tailed-recognition | 85.2% |
| inflated-episodic-memory-with-region-self | 70.2 |
| parameter-efficient-long-tailed-recognition | 87.4% |
| long-tailed-recognition-by-mutual-information | 82.1% |
| long-tailed-recognition-by-mutual-information | 74.5% |
| adaptive-parametric-activation | 74.8 |
| test-agnostic-long-tailed-recognition-by-test | 77% |
| vl-ltr-learning-class-wise-visual-linguistic | 74.6% |
| distilling-virtual-examples-for-long-tailed | 71.71% |
| retrieval-augmented-classification-for-long | 80.24% |
| long-tailed-recognition-by-routing-diverse-1 | 72.2% |
| generalized-parametric-contrastive-learning | 75.4% |
| generalized-parametric-contrastive-learning | 78.1% |