# Image Classification on CIFAR-10 (test) (IR-NR Robustness Error Rates)

Source: [Image Classification on CIFAR-10 (test) (IR-NR Robustness Error Rates)](<https://www.sota2.com/research/sota/image-classification-on-cifar-10-test-ir-nr-robustness-error-rates>)

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

Data updated: 2026-02-26T06:07:19.684Z

Evaluation of Image Classification performance on the CIFAR-10 test set, specifically reporting top-1 error rates under various IR-NR perturbation 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 (test) |
| Metric | Top-1 Error Rate (IR-NR 1-0.0) |
| Unit | PERCENT |
| Direction | Lower 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 Error Rate (IR-NR 1-0.0)](<https://www.sota2.com/research/sota/image-classification-on-cifar-10-test-ir-nr-robustness-error-rates.md?metric=Top-1%20Error%20Rate%20(IR-NR%201-0.0)>): Lower is better; unit: PERCENT.

- [Top-1 Error Rate (IR-NR 10-0.0)](<https://www.sota2.com/research/sota/image-classification-on-cifar-10-test-ir-nr-robustness-error-rates.md?metric=Top-1%20Error%20Rate%20(IR-NR%2010-0.0)>): Lower is better; unit: PERCENT.

- [Top-1 Error Rate (IR-NR 1-0.1)](<https://www.sota2.com/research/sota/image-classification-on-cifar-10-test-ir-nr-robustness-error-rates.md?metric=Top-1%20Error%20Rate%20(IR-NR%201-0.1)>): Lower is better; unit: PERCENT.

- [Top-1 Error Rate (IR-NR 10-0.1)](<https://www.sota2.com/research/sota/image-classification-on-cifar-10-test-ir-nr-robustness-error-rates.md?metric=Top-1%20Error%20Rate%20(IR-NR%2010-0.1)>): Lower is better; unit: PERCENT.

## Recorded results

| Method | Top-1 Error Rate (IR-NR 1-0.0) | Result date | Report paper |
| --- | --- | --- | --- |
| lambda\_A,W,S (AutoDO) | 4.9 | Not recorded | 68fa69801e209131cea2284e |
| FAA | 5 | Not recorded | 68fa69801e209131cea2284e |
| RAA | 5.2 | Not recorded | 68fa69801e209131cea2284e |
| lambda\_A (AutoDO) | 5.2 | Not recorded | 68fa69801e209131cea2284e |
| lambda\_A,W (AutoDO) | 5.4 | Not recorded | 68fa69801e209131cea2284e |
| DADA | 5.5 | Not recorded | 68fa69801e209131cea2284e |
| lambda\_ASHA (AutoDO) | 5.9 | Not recorded | 68fa69801e209131cea2284e |
| Baseline | 6 | Not recorded | 68fa69801e209131cea2284e |

### lambda\_A,W,S (AutoDO)

Top-1 Error Rate (IR-NR 1-0.0): 4.9. Result ID: 698db2a58b517eb433232e6f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa69801e209131cea2284e.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69801e209131cea2284e.md>)

[Implementation](<https://www.sota2.com/github.com/gudovskiy/autodo>)

Recorded evaluation configuration: {"Backbone":"Wide-ResNet-28-10","Configuration":"per-point augmentation, loss reweighting, and soft-labeling"}. This record does not assert independent reproduction.

### FAA

Top-1 Error Rate (IR-NR 1-0.0): 5. Result ID: 698db2a58b517eb433232e6a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa69801e209131cea2284e.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66e21e209131cea12d0c.md>)

Recorded evaluation configuration: {"Backbone":"Wide-ResNet-28-10"}. This record does not assert independent reproduction.

### RAA

Top-1 Error Rate (IR-NR 1-0.0): 5.2. Result ID: 698db2a58b517eb433232e69.

[Reporting paper](<https://www.sota2.com/research/paper/68fa69801e209131cea2284e.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66af1e209131cea11c3c.md>)

[Implementation](<https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet>)

Recorded evaluation configuration: {"Backbone":"Wide-ResNet-28-10"}. This record does not assert independent reproduction.

### lambda\_A (AutoDO)

Top-1 Error Rate (IR-NR 1-0.0): 5.2. Result ID: 698db2a58b517eb433232e6d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa69801e209131cea2284e.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69801e209131cea2284e.md>)

[Implementation](<https://www.sota2.com/github.com/gudovskiy/autodo>)

Recorded evaluation configuration: {"Backbone":"Wide-ResNet-28-10","Configuration":"per-point augmentation hyperparameters"}. This record does not assert independent reproduction.

### lambda\_A,W (AutoDO)

Top-1 Error Rate (IR-NR 1-0.0): 5.4. Result ID: 698db2a58b517eb433232e6e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa69801e209131cea2284e.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69801e209131cea2284e.md>)

[Implementation](<https://www.sota2.com/github.com/gudovskiy/autodo>)

Recorded evaluation configuration: {"Backbone":"Wide-ResNet-28-10","Configuration":"per-point augmentation and loss reweighting"}. This record does not assert independent reproduction.

### DADA

Top-1 Error Rate (IR-NR 1-0.0): 5.5. Result ID: 698db2a58b517eb433232e6b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa69801e209131cea2284e.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68091e209131cea19b4e.md>)

[Implementation](<https://github.com/VDIGPKU/DADA>)

Recorded evaluation configuration: {"Backbone":"Wide-ResNet-28-10"}. This record does not assert independent reproduction.

### lambda\_ASHA (AutoDO)

Top-1 Error Rate (IR-NR 1-0.0): 5.9. Result ID: 698db2a58b517eb433232e6c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa69801e209131cea2284e.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69801e209131cea2284e.md>)

[Implementation](<https://www.sota2.com/github.com/gudovskiy/autodo>)

Recorded evaluation configuration: {"Backbone":"Wide-ResNet-28-10","Configuration":"shared augmentation hyperparameters"}. This record does not assert independent reproduction.

### Baseline

Top-1 Error Rate (IR-NR 1-0.0): 6. Result ID: 698db2a58b517eb433232e68.

[Reporting paper](<https://www.sota2.com/research/paper/68fa69801e209131cea2284e.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa63d41e209131cea010d6.md>)

[Implementation](<https://github.com/zhunzhong07/Random-Erasing>)

Recorded evaluation configuration: {"Backbone":"Wide-ResNet-28-10","Augmentation":"Standard (cropping, flipping, erasing)"}. This record does not assert independent reproduction.

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