# EEG-to-Image Retrieval on THINGS-EEG2 (train)

Source: [EEG-to-Image Retrieval on THINGS-EEG2 (train)](<https://www.sota2.com/research/sota/eeg-to-image-retrieval-on-things-eeg2-train>)

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

Data updated: 2026-05-26T07:18:10.533Z

Evaluation of EEG-to-Image Retrieval performance using the training split of the THINGS-EEG2 dataset, reporting Top-1 and Top-5 accuracies.

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 | EEG-to-Image Retrieval |
| Dataset (including any stated split) | THINGS-EEG2 (train) |
| Metric | Top-1 Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 2 of 2 |
| 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 Accuracy](<https://www.sota2.com/research/sota/eeg-to-image-retrieval-on-things-eeg2-train.md?metric=Top-1%20Accuracy>): Higher is better; unit: PERCENT.

- [Top-5 Accuracy](<https://www.sota2.com/research/sota/eeg-to-image-retrieval-on-things-eeg2-train.md?metric=Top-5%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Top-1 Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| 8-blur + EVNet | 89.6 | Not recorded | 6a152902dbd7150506f7ddd8 |
| 8-blur + EVNet | 86.6 | Not recorded | 6a152902dbd7150506f7ddd8 |

### 8-blur + EVNet

Top-1 Accuracy: 89.6. Result ID: 6a154918fbc373592c0c356b.

[Reporting paper](<https://www.sota2.com/research/paper/6a152902dbd7150506f7ddd8.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a152902dbd7150506f7ddd8.md>)

Recorded evaluation configuration: {"Checkpoint selection":"Best Epoch†","Model configuration":"8-blur + EVNet","Evaluation way":"200-way","Batch size":"1024","Learning rate":"10^-3","Training epochs":"200","Seeds":"10"}. This record does not assert independent reproduction.

### 8-blur + EVNet

Top-1 Accuracy: 86.6. Result ID: 6a154917fbc373592c0c356a.

[Reporting paper](<https://www.sota2.com/research/paper/6a152902dbd7150506f7ddd8.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a152902dbd7150506f7ddd8.md>)

Recorded evaluation configuration: {"Checkpoint selection":"Final Epoch (reported)","Model configuration":"8-blur + EVNet","Evaluation way":"200-way","Batch size":"1024","Learning rate":"10^-3","Training epochs":"200","Seeds":"10"}. This record does not assert independent reproduction.

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