# Image Classification on CIFAR-10 5% sampling, Poisson Noise, 8-bit Quant. (test)

Source: [Image Classification on CIFAR-10 5% sampling, Poisson Noise, 8-bit Quant. (test)](<https://www.sota2.com/research/sota/image-classification-on-cifar-10-5-percent-sampling-poisson-noise-8-bit-quant-test>)

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

Data updated: 2026-02-26T05:31:34.013Z

Evaluation of Image Classification performance on the test split of CIFAR-10 subjected to 5% random sampling, Poisson noise corruption, and 8-bit quantization.

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 5% sampling, Poisson Noise, 8-bit Quant. (test) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 5 of 5 |
| 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](<https://www.sota2.com/research/sota/image-classification-on-cifar-10-5-percent-sampling-poisson-noise-8-bit-quant-test.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| cGAN-CS | 25.94 | Not recorded | 69705db2e25ad2fa9d1ed389 |
| U-Net-CS (MSE) | 22.45 | Not recorded | 69705db2e25ad2fa9d1ed389 |
| PISE | 21.64 | Not recorded | 69705db2e25ad2fa9d1ed389 |
| ADMM-CSNet | 20.55 | Not recorded | 69705db2e25ad2fa9d1ed389 |
| ISTA-Net+ | 19.95 | Not recorded | 69705db2e25ad2fa9d1ed389 |

### cGAN-CS

Accuracy: 25.94. Result ID: 6997ad8e5698665ec403b417.

[Reporting paper](<https://www.sota2.com/research/paper/69705db2e25ad2fa9d1ed389.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65151e209131cea0821e.md>)

[Implementation](<https://github.com/phillipi/pix2pix>)

Recorded evaluation configuration: {"Optimization Dynamics":"High Variance"}. This record does not assert independent reproduction.

### U-Net-CS (MSE)

Accuracy: 22.45. Result ID: 6997ad8e5698665ec403b416.

[Reporting paper](<https://www.sota2.com/research/paper/69705db2e25ad2fa9d1ed389.md>)

Recorded evaluation configuration: {"Optimization Dynamics":"Vanishing"}. This record does not assert independent reproduction.

### PISE

Accuracy: 21.64. Result ID: 6997ad8e5698665ec403b418.

[Reporting paper](<https://www.sota2.com/research/paper/69705db2e25ad2fa9d1ed389.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69705db2e25ad2fa9d1ed389.md>)

Recorded evaluation configuration: {"Optimization Dynamics":"Robust"}. This record does not assert independent reproduction.

### ADMM-CSNet

Accuracy: 20.55. Result ID: 6997ad8e5698665ec403b415.

[Reporting paper](<https://www.sota2.com/research/paper/69705db2e25ad2fa9d1ed389.md>)

Recorded evaluation configuration: {"Optimization Dynamics":"Divergent"}. This record does not assert independent reproduction.

### ISTA-Net+

Accuracy: 19.95. Result ID: 6997ad8e5698665ec403b414.

[Reporting paper](<https://www.sota2.com/research/paper/69705db2e25ad2fa9d1ed389.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64831e209131cea050a5.md>)

Recorded evaluation configuration: {"Optimization Dynamics":"Fluctuating"}. This record does not assert independent reproduction.

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