# Long-tailed Image Classification on CIFAR-100-LT Imbalanced factor 200 (test) Source: [Long-tailed Image Classification on CIFAR-100-LT Imbalanced factor 200 (test)]() Collection index: [llms.txt]() Data updated: 2026-02-26T06:06:58.287Z Evaluation of Long-tailed Image Classification performance on the test split of the CIFAR-100 dataset configured with an imbalance factor of 200. A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | Long-tailed Image Classification | | Dataset (including any stated split) | CIFAR-100-LT Imbalanced factor 200 (test) | | Metric | Top-1 Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 8 of 8 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [Top-1 Accuracy](): Higher is better; unit: PERCENT. - [Top-5 Accuracy](): Higher is better; unit: PERCENT. - [Top-1 Accuracy (Many)](): Higher is better; unit: PERCENT. - [Top-1 Accuracy (Med)](): Higher is better; unit: PERCENT. - [Top-1 Accuracy (Few)](): Higher is better; unit: PERCENT. ## Recorded results | Method | Top-1 Accuracy | Result date | Report paper | | --- | --- | --- | --- | | PaCo + BatchFormer | 47.8 | Not recorded | 68fa6c2d1e209131cea3294c | | Balanced Softmax + BatchFormer | 47.5 | Not recorded | 68fa6c2d1e209131cea3294c | | PaCo | 47.1 | Not recorded | 68fa6c2d1e209131cea3294c | | Balanced Softmax | 46.4 | Not recorded | 68fa6c2d1e209131cea3294c | | SEQL | 43.38 | Not recorded | 68fa675c1e209131cea15df9 | | Meta-Weight Net | 37.91 | Not recorded | 68fa675c1e209131cea15df9 | | Class Balanced | 36.23 | Not recorded | 68fa675c1e209131cea15df9 | | Focal Loss | 35.62 | Not recorded | 68fa675c1e209131cea15df9 | ### PaCo + BatchFormer Top-1 Accuracy: 47.8. Result ID: 698eea7b3a6c314849f35e2e. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### Balanced Softmax + BatchFormer Top-1 Accuracy: 47.5. Result ID: 698eea7b3a6c314849f35e2c. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Training stages":"one stage"}. This record does not assert independent reproduction. ### PaCo Top-1 Accuracy: 47.1. Result ID: 698eea7b3a6c314849f35e2d. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### Balanced Softmax Top-1 Accuracy: 46.4. Result ID: 698eea7b3a6c314849f35e2b. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Training stages":"one stage"}. This record does not assert independent reproduction. ### SEQL Top-1 Accuracy: 43.38. Result ID: 698d31278b517eb4331fb3dc. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Backbone":"ResNet-32","Imbalanced factor":200,"gamma":0.95,"lambda":"3.0 x 10^-3"}. This record does not assert independent reproduction. ### Meta-Weight Net Top-1 Accuracy: 37.91. Result ID: 698d31278b517eb4331fb3db. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Backbone":"ResNet-32","Imbalanced factor":200}. This record does not assert independent reproduction. ### Class Balanced Top-1 Accuracy: 36.23. Result ID: 698d31278b517eb4331fb3da. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Backbone":"ResNet-32","Imbalanced factor":200}. This record does not assert independent reproduction. ### Focal Loss Top-1 Accuracy: 35.62. Result ID: 698d31278b517eb4331fb3d9. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Backbone":"ResNet-32","Imbalanced factor":200}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.