# Image Classification on CIFAR10-DVS original 128x128 (test)

Source: [Image Classification on CIFAR10-DVS original 128x128 (test)](<https://www.sota2.com/research/sota/image-classification-on-cifar10-dvs-original-128x128-test>)

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

Data updated: 2026-02-26T06:06:11.882Z

Evaluation of Image Classification performance on the test split of the CIFAR10-DVS dataset (128x128 resolution), measured by Test Accuracy.

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) | CIFAR10-DVS original 128x128 (test) |
| Metric | Test 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

- [Test Accuracy](<https://www.sota2.com/research/sota/image-classification-on-cifar10-dvs-original-128x128-test.md?metric=Test%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Test Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| NDA | 82.1 | Not recorded | 68fa6d181e209131cea37ae0 |
| NDA | 81.7 | Not recorded | 68fa6d181e209131cea37ae0 |
| NDA | 80.9 | Not recorded | 68fa6d181e209131cea37ae0 |
| NDA | 80.8 | Not recorded | 68fa6d181e209131cea37ae0 |
| NDA | 77.4 | Not recorded | 68fa6d181e209131cea37ae0 |

### NDA

Test Accuracy: 82.1. Result ID: 698f7d3c3a6c314849f92bfc.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d181e209131cea37ae0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d181e209131cea37ae0.md>)

[Implementation](<https://github.com/Intelligent-Computing-Lab-Yale/NDA_SNN>)

Recorded evaluation configuration: {"Pre-training Method":"Unsupervised","Pre-training Dataset":"N-Caltech 101","Finetuning Method":"Finetune@300 epochs"}. This record does not assert independent reproduction.

### NDA

Test Accuracy: 81.7. Result ID: 698f7d3c3a6c314849f92bf8.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d181e209131cea37ae0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d181e209131cea37ae0.md>)

[Implementation](<https://github.com/Intelligent-Computing-Lab-Yale/NDA_SNN>)

Recorded evaluation configuration: {"Pre-training Method":"None","Finetuning Method":"Train@300 epochs"}. This record does not assert independent reproduction.

### NDA

Test Accuracy: 80.9. Result ID: 698f7d3c3a6c314849f92bfa.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d181e209131cea37ae0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d181e209131cea37ae0.md>)

[Implementation](<https://github.com/Intelligent-Computing-Lab-Yale/NDA_SNN>)

Recorded evaluation configuration: {"Pre-training Method":"Supervised","Pre-training Dataset":"N-Caltech 101","Finetuning Method":"Finetune@300 epochs"}. This record does not assert independent reproduction.

### NDA

Test Accuracy: 80.8. Result ID: 698f7d3c3a6c314849f92bfb.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d181e209131cea37ae0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d181e209131cea37ae0.md>)

[Implementation](<https://github.com/Intelligent-Computing-Lab-Yale/NDA_SNN>)

Recorded evaluation configuration: {"Pre-training Method":"Unsupervised","Pre-training Dataset":"N-Caltech 101","Finetuning Method":"Finetune@100 epochs"}. This record does not assert independent reproduction.

### NDA

Test Accuracy: 77.4. Result ID: 698f7d3c3a6c314849f92bf9.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d181e209131cea37ae0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d181e209131cea37ae0.md>)

[Implementation](<https://github.com/Intelligent-Computing-Lab-Yale/NDA_SNN>)

Recorded evaluation configuration: {"Pre-training Method":"Supervised","Pre-training Dataset":"N-Caltech 101","Finetuning Method":"Finetune@100 epochs"}. This record does not assert independent reproduction.

Page 1 of 1. This is an index page, not the full collection.