# 5-way 1-shot Image Classification on ImageNet L\_dogs full (train)

Source: [5-way 1-shot Image Classification on ImageNet L\_dogs full (train)](<https://www.sota2.com/research/sota/5-way-1-shot-image-classification-on-imagenet-l_dogs-full-train>)

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

Data updated: 2026-02-26T05:27:16.620Z

Evaluation of 5-way, 1-shot few-shot image classification performance on the full training split of the ImageNet L\_dogs dataset variant, measured by 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 | 5-way 1-shot Image Classification |
| Dataset (including any stated split) | ImageNet L\_dogs full (train) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 4 of 4 |
| 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/5-way-1-shot-image-classification-on-imagenet-l_dogs-full-train.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| INCEPTION ORACLE | 99 | Not recorded | 68fa63e81e209131cea015ca |
| Matching Networks | 96.4 | Not recorded | 68fa63e81e209131cea015ca |
| INCEPTION CLASSIFIER | 90 | Not recorded | 68fa63e81e209131cea015ca |
| PIXELS | 43 | Not recorded | 68fa63e81e209131cea015ca |

### INCEPTION ORACLE

Accuracy: 99. Result ID: 698c0623f729bc7f68e7e130.

[Reporting paper](<https://www.sota2.com/research/paper/68fa63e81e209131cea015ca.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa62331e209131ce9f8333.md>)

Recorded evaluation configuration: {"Matching Fn":"Softmax (Full)","Fine Tune":"Y (Full)"}. This record does not assert independent reproduction.

### Matching Networks

Accuracy: 96.4. Result ID: 698c0622f729bc7f68e7e12f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa63e81e209131cea015ca.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa63e81e209131cea015ca.md>)

[Implementation](<https://goo.gl/e3orz6>)

Recorded evaluation configuration: {"Matching Fn":"Cosine (FCE)","Fine Tune":"N"}. This record does not assert independent reproduction.

### INCEPTION CLASSIFIER

Accuracy: 90. Result ID: 698c0622f729bc7f68e7e12e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa63e81e209131cea015ca.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa62331e209131ce9f8333.md>)

Recorded evaluation configuration: {"Matching Fn":"Cosine","Fine Tune":"N"}. This record does not assert independent reproduction.

### PIXELS

Accuracy: 43. Result ID: 698c0622f729bc7f68e7e12d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa63e81e209131cea015ca.md>)

Recorded evaluation configuration: {"Matching Fn":"Cosine","Fine Tune":"N"}. This record does not assert independent reproduction.

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