# Long-tailed Image Classification on CIFAR-100 (IF=100) (test)

Source: [Long-tailed Image Classification on CIFAR-100 (IF=100) (test)](<https://www.sota2.com/research/sota/long-tailed-image-classification-on-cifar-100-if-100-test>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T05:34:19.335Z

Evaluation of Image Classification performance on the test split of CIFAR-100 configured with a 100x long-tail imbalance factor, measured using metrics categorized by class frequency (Many, Med, Few) and overall accuracy (Acc).

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 | Image Classification |
| Dataset (including any stated split) | Long-tailed CIFAR-100 (imbalance factor 100) (test) |
| Metric | Accuracy (Many Classes) |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 10 of 10 |
| 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

- [Accuracy (Many Classes)](<https://www.sota2.com/research/sota/long-tailed-image-classification-on-cifar-100-if-100-test.md?metric=Accuracy%20(Many%20Classes)>): Higher is better; unit: PERCENT.

- [Accuracy (Medium Classes)](<https://www.sota2.com/research/sota/long-tailed-image-classification-on-cifar-100-if-100-test.md?metric=Accuracy%20(Medium%20Classes)>): Higher is better; unit: PERCENT.

- [Accuracy (Few Classes)](<https://www.sota2.com/research/sota/long-tailed-image-classification-on-cifar-100-if-100-test.md?metric=Accuracy%20(Few%20Classes)>): Higher is better; unit: PERCENT.

- [Accuracy](<https://www.sota2.com/research/sota/long-tailed-image-classification-on-cifar-100-if-100-test.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy (Many Classes) | Result date | Report paper |
| --- | --- | --- | --- |
| CE | 65.5 | Not recorded | 68fa6b2d1e209131cea2c9d1 |
| DRO-LT | 65 | Not recorded | 68fa6b2d1e209131cea2c9d1 |
| DRO-LT | 64.7 | Not recorded | 68fa6b2d1e209131cea2c9d1 |
| SSL | 64.1 | Not recorded | 68fa6b2d1e209131cea2c9d1 |
| DRO-LT | 64.1 | Not recorded | 68fa6b2d1e209131cea2c9d1 |
| DRO-LT | 61.9 | Not recorded | 68fa6b2d1e209131cea2c9d1 |
| OLTR | 61.8 | Not recorded | 68fa6b2d1e209131cea2c9d1 |
| T-norm | 61.4 | Not recorded | 68fa6b2d1e209131cea2c9d1 |
| LDAM Loss | 61 | Not recorded | 68fa6b2d1e209131cea2c9d1 |
| smDragon | 60.5 | Not recorded | 68fa6b2d1e209131cea2c9d1 |

### CE

Accuracy (Many Classes): 65.5. Result ID: 698e695fffc3901de09d60d7.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6b2d1e209131cea2c9d1.md>)

Recorded evaluation configuration: {"reproduced":"true"}. This record does not assert independent reproduction.

### DRO-LT

Accuracy (Many Classes): 65. Result ID: 698e695fffc3901de09d60df.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6b2d1e209131cea2c9d1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b2d1e209131cea2c9d1.md>)

Recorded evaluation configuration: {"epsilon":"e\[n\]"}. This record does not assert independent reproduction.

### DRO-LT

Accuracy (Many Classes): 64.7. Result ID: 698e695fffc3901de09d60e0.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6b2d1e209131cea2c9d1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b2d1e209131cea2c9d1.md>)

Recorded evaluation configuration: {"epsilon":"Learnable"}. This record does not assert independent reproduction.

### SSL

Accuracy (Many Classes): 64.1. Result ID: 698e695fffc3901de09d60dc.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6b2d1e209131cea2c9d1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa697f1e209131cea22756.md>)

Recorded evaluation configuration: {"reproduced":"true"}. This record does not assert independent reproduction.

### DRO-LT

Accuracy (Many Classes): 64.1. Result ID: 698e695fffc3901de09d60de.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6b2d1e209131cea2c9d1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b2d1e209131cea2c9d1.md>)

Recorded evaluation configuration: {"epsilon":"Shared"}. This record does not assert independent reproduction.

### DRO-LT

Accuracy (Many Classes): 61.9. Result ID: 698e695fffc3901de09d60dd.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6b2d1e209131cea2c9d1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b2d1e209131cea2c9d1.md>)

Recorded evaluation configuration: {"epsilon":"0 (ERM)"}. This record does not assert independent reproduction.

### OLTR

Accuracy (Many Classes): 61.8. Result ID: 698e695fffc3901de09d60d9.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6b2d1e209131cea2c9d1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa659f1e209131cea0b4aa.md>)

[Implementation](<https://liuziwei7.github.io/projects/LongTail.html>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### T-norm

Accuracy (Many Classes): 61.4. Result ID: 698e695fffc3901de09d60da.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6b2d1e209131cea2c9d1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa671b1e209131cea144a9.md>)

[Implementation](<https://github.com/facebookresearch/classifier-balancing>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### LDAM Loss

Accuracy (Many Classes): 61. Result ID: 698e695fffc3901de09d60d8.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6b2d1e209131cea2c9d1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66901e209131cea10e0f.md>)

[Implementation](<https://github.com/kaidic/LDAM-DRW>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### smDragon

Accuracy (Many Classes): 60.5. Result ID: 698e695fffc3901de09d60db.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6b2d1e209131cea2c9d1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68ac1e209131cea1daa1.md>)

[Implementation](<https://github.com/dvirsamuel/DRAGON>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

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