# Few-shot Image Classification on mini-ImageNet Eight Meta (train)

Source: [Few-shot Image Classification on mini-ImageNet Eight Meta (train)](<https://www.sota2.com/research/sota/few-shot-image-classification-on-mini-imagenet-eight-meta-train>)

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

Data updated: 2026-02-26T05:35:13.282Z

Evaluation of Few-shot Image Classification performance on the training split of the mini-ImageNet Eight Meta dataset, focusing on average, worst-case, and CVaR alpha 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 | Few-shot Image Classification |
| Dataset (including any stated split) | mini-ImageNet Eight Meta (train) |
| Metric | Average Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 3 of 3 |
| 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

- [Average Accuracy](<https://www.sota2.com/research/sota/few-shot-image-classification-on-mini-imagenet-eight-meta-train.md?metric=Average%20Accuracy>): Higher is better; unit: PERCENT.

- [Worst Accuracy](<https://www.sota2.com/research/sota/few-shot-image-classification-on-mini-imagenet-eight-meta-train.md?metric=Worst%20Accuracy>): Higher is better; unit: PERCENT.

- [CVaR Alpha Accuracy](<https://www.sota2.com/research/sota/few-shot-image-classification-on-mini-imagenet-eight-meta-train.md?metric=CVaR%20Alpha%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Average Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| DR-MAML | 70.2 | Not recorded | 68fa70b61e209131cea4cbd4 |
| MAML | 70.1 | Not recorded | 68fa70b61e209131cea4cbd4 |
| TR-MAML | 63.2 | Not recorded | 68fa70b61e209131cea4cbd4 |

### DR-MAML

Average Accuracy: 70.2. Result ID: 699155353a6c3148490760c7.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70b61e209131cea4cbd4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa70b61e209131cea4cbd4.md>)

[Implementation](<https://github.com/lgcollins/tr-maml>)

Recorded evaluation configuration: {"N-way":5,"K-shot":1,"alpha":0.5}. This record does not assert independent reproduction.

### MAML

Average Accuracy: 70.1. Result ID: 699155353a6c3148490760c5.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70b61e209131cea4cbd4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa63861e209131ce9ff3e8.md>)

Recorded evaluation configuration: {"N-way":5,"K-shot":1,"alpha":0.5}. This record does not assert independent reproduction.

### TR-MAML

Average Accuracy: 63.2. Result ID: 699155353a6c3148490760c6.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70b61e209131cea4cbd4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa57051e209131ce9a1c56.md>)

Recorded evaluation configuration: {"N-way":5,"K-shot":1,"alpha":0.5}. This record does not assert independent reproduction.

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