# Image Classification on CIFAR-10 Imbalance Ratio 100 Heteroskedastic Noise (val)

Source: [Image Classification on CIFAR-10 Imbalance Ratio 100 Heteroskedastic Noise (val)](<https://www.sota2.com/research/sota/image-classification-on-cifar-10-imbalance-ratio-100-heteroskedastic-noise-val>)

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

Data updated: 2026-02-26T06:06:54.007Z

Evaluation of Image Classification performance on the validation split of CIFAR-10 configured with an Imbalance Ratio of 100 under Heteroskedastic Noise conditions.

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) | CIFAR-10 Imbalance Ratio 100 Heteroskedastic Noise (val) |
| Metric | Top-1 Acc (Noisy & Rare) |
| 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

- [Top-1 Acc (Noisy & Rare)](<https://www.sota2.com/research/sota/image-classification-on-cifar-10-imbalance-ratio-100-heteroskedastic-noise-val.md?metric=Top-1%20Acc%20(Noisy%20%26%20Rare)>): Higher is better; unit: PERCENT.

- [Top-1 Acc (Clean)](<https://www.sota2.com/research/sota/image-classification-on-cifar-10-imbalance-ratio-100-heteroskedastic-noise-val.md?metric=Top-1%20Acc%20(Clean)>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Top-1 Acc (Noisy & Rare) | Result date | Report paper |
| --- | --- | --- | --- |
| HAR | 42.4 | Not recorded | 68fa69941e209131cea22d32 |
| Unif-reg (optimal) | 36.7 | Not recorded | 68fa69941e209131cea22d32 |
| MW-Net | 35.6 | Not recorded | 68fa69941e209131cea22d32 |
| L2RW | 31.2 | Not recorded | 68fa69941e209131cea22d32 |
| MentorNet | 28.3 | Not recorded | 68fa69941e209131cea22d32 |
| INCV | 25.8 | Not recorded | 68fa69941e209131cea22d32 |
| ERM | 18.9 | Not recorded | 68fa69941e209131cea22d32 |
| Co-teaching | 15.4 | Not recorded | 68fa69941e209131cea22d32 |
| GCE | 14.1 | Not recorded | 68fa69941e209131cea22d32 |
| DMI | 14 | Not recorded | 68fa69941e209131cea22d32 |

### HAR

Top-1 Acc (Noisy & Rare): 42.4. Result ID: 698dbb4e8b517eb43323631e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa69941e209131cea22d32.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69941e209131cea22d32.md>)

[Implementation](<https://github.com/kaidic/HAR>)

Recorded evaluation configuration: {"Backbone":"ResNet-32"}. This record does not assert independent reproduction.

### Unif-reg (optimal)

Top-1 Acc (Noisy & Rare): 36.7. Result ID: 698dbb4e8b517eb43323631d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa69941e209131cea22d32.md>)

Recorded evaluation configuration: {"Backbone":"ResNet-32"}. This record does not assert independent reproduction.

### MW-Net

Top-1 Acc (Noisy & Rare): 35.6. Result ID: 698dbb4e8b517eb43323631a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa69941e209131cea22d32.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66791e209131cea1067e.md>)

[Implementation](<https://github.com/xjtushujun/meta-weight-net>)

Recorded evaluation configuration: {"Backbone":"ResNet-32"}. This record does not assert independent reproduction.

### L2RW

Top-1 Acc (Noisy & Rare): 31.2. Result ID: 698dbb4e8b517eb433236319.

[Reporting paper](<https://www.sota2.com/research/paper/68fa69941e209131cea22d32.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65be1e209131cea0c1af.md>)

Recorded evaluation configuration: {"Backbone":"ResNet-32"}. This record does not assert independent reproduction.

### MentorNet

Top-1 Acc (Noisy & Rare): 28.3. Result ID: 698dbb4e8b517eb433236318.

[Reporting paper](<https://www.sota2.com/research/paper/68fa69941e209131cea22d32.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64bf1e209131cea063ec.md>)

[Implementation](<https://github.com/google/mentornet>)

Recorded evaluation configuration: {"Backbone":"ResNet-32"}. This record does not assert independent reproduction.

### INCV

Top-1 Acc (Noisy & Rare): 25.8. Result ID: 698dbb4e8b517eb433236317.

[Reporting paper](<https://www.sota2.com/research/paper/68fa69941e209131cea22d32.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65bb1e209131cea0bf96.md>)

[Implementation](<https://github.com/chenpf1025/noisy_label_understanding_utilizing>)

Recorded evaluation configuration: {"Backbone":"ResNet-32"}. This record does not assert independent reproduction.

### ERM

Top-1 Acc (Noisy & Rare): 18.9. Result ID: 698dbb4e8b517eb433236315.

[Reporting paper](<https://www.sota2.com/research/paper/68fa69941e209131cea22d32.md>)

Recorded evaluation configuration: {"Backbone":"ResNet-32"}. This record does not assert independent reproduction.

### Co-teaching

Top-1 Acc (Noisy & Rare): 15.4. Result ID: 698dbb4e8b517eb433236316.

[Reporting paper](<https://www.sota2.com/research/paper/68fa69941e209131cea22d32.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64fe1e209131cea07aa4.md>)

[Implementation](<https://github.com/bhanML/Co-teaching>)

Recorded evaluation configuration: {"Backbone":"ResNet-32"}. This record does not assert independent reproduction.

### GCE

Top-1 Acc (Noisy & Rare): 14.1. Result ID: 698dbb4e8b517eb43323631b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa69941e209131cea22d32.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa651f1e209131cea088eb.md>)

Recorded evaluation configuration: {"Backbone":"ResNet-32"}. This record does not assert independent reproduction.

### DMI

Top-1 Acc (Noisy & Rare): 14. Result ID: 698dbb4e8b517eb43323631c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa69941e209131cea22d32.md>)

Recorded evaluation configuration: {"Backbone":"ResNet-32"}. This record does not assert independent reproduction.

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