# Robust Image Classification on CIFAR-10 (test) (Symmetric & Asymmetric Noise)

Source: [Robust Image Classification on CIFAR-10 (test) (Symmetric & Asymmetric Noise)](<https://www.sota2.com/research/sota/robust-image-classification-on-cifar-10-test-symmetric-and-asymmetric-noise>)

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

Data updated: 2026-02-26T05:34:27.871Z

Evaluation of Image Classification model robustness on the CIFAR-10 test set under varying levels of Symmetric and Asymmetric input noise corruption.

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 | Accuracy (Symmetric Noise, η=0.2) |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 25 of 25 |
| 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 (Symmetric Noise, η=0.2)](<https://www.sota2.com/research/sota/robust-image-classification-on-cifar-10-test-symmetric-and-asymmetric-noise.md?metric=Accuracy%20(Symmetric%20Noise%2C%20%CE%B7%3D0.2)>): Higher is better; unit: PERCENT.

- [Accuracy (Symmetric Noise, η=0.0)](<https://www.sota2.com/research/sota/robust-image-classification-on-cifar-10-test-symmetric-and-asymmetric-noise.md?metric=Accuracy%20(Symmetric%20Noise%2C%20%CE%B7%3D0.0)>): Higher is better; unit: PERCENT.

- [Accuracy (Symmetric Noise, η=0.4)](<https://www.sota2.com/research/sota/robust-image-classification-on-cifar-10-test-symmetric-and-asymmetric-noise.md?metric=Accuracy%20(Symmetric%20Noise%2C%20%CE%B7%3D0.4)>): Higher is better; unit: PERCENT.

- [Accuracy (Symmetric Noise, η=0.6)](<https://www.sota2.com/research/sota/robust-image-classification-on-cifar-10-test-symmetric-and-asymmetric-noise.md?metric=Accuracy%20(Symmetric%20Noise%2C%20%CE%B7%3D0.6)>): Higher is better; unit: PERCENT.

- [Accuracy (Symmetric Noise, η=0.8)](<https://www.sota2.com/research/sota/robust-image-classification-on-cifar-10-test-symmetric-and-asymmetric-noise.md?metric=Accuracy%20(Symmetric%20Noise%2C%20%CE%B7%3D0.8)>): Higher is better; unit: PERCENT.

- [Accuracy (Asymmetric Noise, η=0.2)](<https://www.sota2.com/research/sota/robust-image-classification-on-cifar-10-test-symmetric-and-asymmetric-noise.md?metric=Accuracy%20(Asymmetric%20Noise%2C%20%CE%B7%3D0.2)>): Higher is better; unit: PERCENT.

- [Accuracy (Asymmetric Noise, η=0.3)](<https://www.sota2.com/research/sota/robust-image-classification-on-cifar-10-test-symmetric-and-asymmetric-noise.md?metric=Accuracy%20(Asymmetric%20Noise%2C%20%CE%B7%3D0.3)>): Higher is better; unit: PERCENT.

- [Accuracy (Asymmetric Noise, η=0.4)](<https://www.sota2.com/research/sota/robust-image-classification-on-cifar-10-test-symmetric-and-asymmetric-noise.md?metric=Accuracy%20(Asymmetric%20Noise%2C%20%CE%B7%3D0.4)>): Higher is better; unit: PERCENT.

- [Accuracy (Symmetric Noise, η=0.5)](<https://www.sota2.com/research/sota/robust-image-classification-on-cifar-10-test-symmetric-and-asymmetric-noise.md?metric=Accuracy%20(Symmetric%20Noise%2C%20%CE%B7%3D0.5)>): Higher is better; unit: PERCENT.

- [Accuracy (Symmetric Noise, η=0.9)](<https://www.sota2.com/research/sota/robust-image-classification-on-cifar-10-test-symmetric-and-asymmetric-noise.md?metric=Accuracy%20(Symmetric%20Noise%2C%20%CE%B7%3D0.9)>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy (Symmetric Noise, η=0.2) | Result date | Report paper |
| --- | --- | --- | --- |
| Ours (Modified Model) | 96.75 | Not recorded | 68fa6dad1e209131cea3b71c |
| ContrastToDivide | 96.4 | Not recorded | 68fa6dad1e209131cea3b71c |
| AugDesc | 96.3 | Not recorded | 68fa6dad1e209131cea3b71c |
| PropMix | 96.09 | Not recorded | 68fa6dad1e209131cea3b71c |
| Ours (Modified Model) | 95.99 | Not recorded | 68fa6dad1e209131cea3b71c |
| ELR | 95.8 | Not recorded | 68fa6dad1e209131cea3b71c |
| DivideMix | 95.7 | Not recorded | 68fa6dad1e209131cea3b71c |
| Ours (Normal Model) | 95.47 | Not recorded | 68fa6dad1e209131cea3b71c |
| Ours (Normal Model) | 95.04 | Not recorded | 68fa6dad1e209131cea3b71c |
| FasTEN | 91.94 | Not recorded | 68fa6cf71e209131cea36e68 |
| MSLC | 90.94 | Not recorded | 68fa6cf71e209131cea36e68 |
| MLOC | 90.5 | Not recorded | 68fa6cf71e209131cea36e68 |
| Deep kNN | 90.02 | Not recorded | 68fa6cf71e209131cea36e68 |
| MW-Net | 89.76 | Not recorded | 68fa6cf71e209131cea36e68 |
| MLaC | 89.75 | Not recorded | 68fa6cf71e209131cea36e68 |
| GLC | 89.66 | Not recorded | 68fa6cf71e209131cea36e68 |
| L2RW | 88.26 | Not recorded | 68fa6cf71e209131cea36e68 |
| SL | 87.63 | Not recorded | 68fa66351e209131cea0ec32 |
| Forward | 85.83 | Not recorded | 68fa66351e209131cea0ec32 |
| GCE | 84.86 | Not recorded | 68fa66351e209131cea0ec32 |
| Bootstrap | 83.95 | Not recorded | 68fa66351e209131cea0ec32 |
| LSR | 83.49 | Not recorded | 68fa66351e209131cea0ec32 |
| CE | 82.96 | Not recorded | 68fa66351e209131cea0ec32 |
| Cross-Entropy | 82.7 | Not recorded | 68fa6dad1e209131cea3b71c |
| D2L | 81.13 | Not recorded | 68fa66351e209131cea0ec32 |

### Ours (Modified Model)

Accuracy (Symmetric Noise, η=0.2): 96.75. Result ID: 698fd47f3a6c314849fc2ab3.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dad1e209131cea3b71c.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6dad1e209131cea3b71c.md>)

[Implementation](<https://github.com/btsmart/bootstrapping-label-noise>)

Recorded evaluation configuration: {"Model Variant":"Modified","Test-Time Augmentation":true}. This record does not assert independent reproduction.

### ContrastToDivide

Accuracy (Symmetric Noise, η=0.2): 96.4. Result ID: 698fd47f3a6c314849fc2aae.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dad1e209131cea3b71c.md>)

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

### AugDesc

Accuracy (Symmetric Noise, η=0.2): 96.3. Result ID: 698fd47f3a6c314849fc2aad.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dad1e209131cea3b71c.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69b21e209131cea2384c.md>)

[Implementation](<https://github.com/KentoNishi/Augmentation-for-LNL>)

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

### PropMix

Accuracy (Symmetric Noise, η=0.2): 96.09. Result ID: 698fd47f3a6c314849fc2aaf.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dad1e209131cea3b71c.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b191e209131cea2c2f6.md>)

[Implementation](<https://github.com/filipe-research/PropMix>)

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

### Ours (Modified Model)

Accuracy (Symmetric Noise, η=0.2): 95.99. Result ID: 698fd47f3a6c314849fc2ab2.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dad1e209131cea3b71c.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6dad1e209131cea3b71c.md>)

[Implementation](<https://github.com/btsmart/bootstrapping-label-noise>)

Recorded evaluation configuration: {"Model Variant":"Modified"}. This record does not assert independent reproduction.

### ELR

Accuracy (Symmetric Noise, η=0.2): 95.8. Result ID: 698fd47f3a6c314849fc2aab.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dad1e209131cea3b71c.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68a01e209131cea1d383.md>)

[Implementation](<https://github.com/shengliu66/ELR>)

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

### DivideMix

Accuracy (Symmetric Noise, η=0.2): 95.7. Result ID: 698fd47f3a6c314849fc2aac.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dad1e209131cea3b71c.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa671c1e209131cea144cf.md>)

[Implementation](<https://github.com/LiJunnan1992/DivideMix>)

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

### Ours (Normal Model)

Accuracy (Symmetric Noise, η=0.2): 95.47. Result ID: 698fd47f3a6c314849fc2ab1.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dad1e209131cea3b71c.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6dad1e209131cea3b71c.md>)

[Implementation](<https://github.com/btsmart/bootstrapping-label-noise>)

Recorded evaluation configuration: {"Model Variant":"Normal","Test-Time Augmentation":true}. This record does not assert independent reproduction.

### Ours (Normal Model)

Accuracy (Symmetric Noise, η=0.2): 95.04. Result ID: 698fd47f3a6c314849fc2ab0.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dad1e209131cea3b71c.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6dad1e209131cea3b71c.md>)

[Implementation](<https://github.com/btsmart/bootstrapping-label-noise>)

Recorded evaluation configuration: {"Model Variant":"Normal"}. This record does not assert independent reproduction.

### FasTEN

Accuracy (Symmetric Noise, η=0.2): 91.94. Result ID: 698f6f443a6c314849f88afe.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6cf71e209131cea36e68.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6cf71e209131cea36e68.md>)

[Implementation](<https://github.com/hyperconnect/FasTEN>)

Recorded evaluation configuration: {"Backbone":"ResNet-34"}. This record does not assert independent reproduction.

### MSLC

Accuracy (Symmetric Noise, η=0.2): 90.94. Result ID: 698f6f443a6c314849f88afd.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6cf71e209131cea36e68.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c1a1e209131cea3233a.md>)

Recorded evaluation configuration: {"Backbone":"ResNet-34"}. This record does not assert independent reproduction.

### MLOC

Accuracy (Symmetric Noise, η=0.2): 90.5. Result ID: 698f6f443a6c314849f88afb.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6cf71e209131cea36e68.md>)

Recorded evaluation configuration: {"Backbone":"ResNet-34"}. This record does not assert independent reproduction.

### Deep kNN

Accuracy (Symmetric Noise, η=0.2): 90.02. Result ID: 698f6f443a6c314849f88af9.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6cf71e209131cea36e68.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa676c1e209131cea160c5.md>)

Recorded evaluation configuration: {"Backbone":"ResNet-34"}. This record does not assert independent reproduction.

### MW-Net

Accuracy (Symmetric Noise, η=0.2): 89.76. Result ID: 698f6f443a6c314849f88af8.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6cf71e209131cea36e68.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a7e1e209131cea289fe.md>)

[Implementation](<https://aka.ms/MLC>)

Recorded evaluation configuration: {"Backbone":"ResNet-34"}. This record does not assert independent reproduction.

### MLaC

Accuracy (Symmetric Noise, η=0.2): 89.75. Result ID: 698f6f443a6c314849f88afc.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6cf71e209131cea36e68.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a7e1e209131cea289fe.md>)

[Implementation](<https://aka.ms/MLC>)

Recorded evaluation configuration: {"Backbone":"ResNet-34"}. This record does not assert independent reproduction.

### GLC

Accuracy (Symmetric Noise, η=0.2): 89.66. Result ID: 698f6f443a6c314849f88afa.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6cf71e209131cea36e68.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a7e1e209131cea289fe.md>)

[Implementation](<https://aka.ms/MLC>)

Recorded evaluation configuration: {"Backbone":"ResNet-34"}. This record does not assert independent reproduction.

### L2RW

Accuracy (Symmetric Noise, η=0.2): 88.26. Result ID: 698f6f443a6c314849f88af7.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6cf71e209131cea36e68.md>)

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

Recorded evaluation configuration: {"Backbone":"ResNet-34"}. This record does not assert independent reproduction.

### SL

Accuracy (Symmetric Noise, η=0.2): 87.63. Result ID: 698cdf9b8b517eb4331d54b3.

[Reporting paper](<https://www.sota2.com/research/paper/68fa66351e209131cea0ec32.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66351e209131cea0ec32.md>)

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

### Forward

Accuracy (Symmetric Noise, η=0.2): 85.83. Result ID: 698cdf9b8b517eb4331d54b0.

[Reporting paper](<https://www.sota2.com/research/paper/68fa66351e209131cea0ec32.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa63321e209131ce9fd4c8.md>)

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

### GCE

Accuracy (Symmetric Noise, η=0.2): 84.86. Result ID: 698cdf9b8b517eb4331d54b2.

[Reporting paper](<https://www.sota2.com/research/paper/68fa66351e209131cea0ec32.md>)

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

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

### Bootstrap

Accuracy (Symmetric Noise, η=0.2): 83.95. Result ID: 698cdf9b8b517eb4331d54af.

[Reporting paper](<https://www.sota2.com/research/paper/68fa66351e209131cea0ec32.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa61d01e209131ce9f63bb.md>)

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

### LSR

Accuracy (Symmetric Noise, η=0.2): 83.49. Result ID: 698cdf9b8b517eb4331d54ae.

[Reporting paper](<https://www.sota2.com/research/paper/68fa66351e209131cea0ec32.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa63171e209131ce9fc942.md>)

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

### CE

Accuracy (Symmetric Noise, η=0.2): 82.96. Result ID: 698cdf9b8b517eb4331d54ad.

[Reporting paper](<https://www.sota2.com/research/paper/68fa66351e209131cea0ec32.md>)

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

### Cross-Entropy

Accuracy (Symmetric Noise, η=0.2): 82.7. Result ID: 698fd47f3a6c314849fc2aaa.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6dad1e209131cea3b71c.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa671c1e209131cea144cf.md>)

[Implementation](<https://github.com/LiJunnan1992/DivideMix>)

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

### D2L

Accuracy (Symmetric Noise, η=0.2): 81.13. Result ID: 698cdf9b8b517eb4331d54b1.

[Reporting paper](<https://www.sota2.com/research/paper/68fa66351e209131cea0ec32.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64a71e209131cea05e51.md>)

[Implementation](<https://github.com/xingjunm/dimensionality-driven-learning>)

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

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