# Image Classification on Euro (test)

Source: [Image Classification on Euro (test)](<https://www.sota2.com/research/sota/image-classification-on-euro-test>)

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

Data updated: 2026-02-26T05:30:23.364Z

Evaluation of Image Classification performance on the test split of the Euro dataset.

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) | Euro (test) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 9 of 9 |
| 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-euro-test.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| MSENet | 78.63 | Not recorded | 68fa77641e209131cea72fc4 |
| CAN | 78.22 | Not recorded | 68fa77641e209131cea72fc4 |
| BL++ | 75.79 | Not recorded | 68fa77641e209131cea72fc4 |
| ANIL+MLP | 75.73 | Not recorded | 68fa77641e209131cea72fc4 |
| DN4 | 75.01 | Not recorded | 68fa77641e209131cea72fc4 |
| PN | 70.96 | Not recorded | 68fa77641e209131cea72fc4 |
| MTL+MLP | 65.19 | Not recorded | 68fa77641e209131cea72fc4 |
| ANIL | 63.96 | Not recorded | 68fa77641e209131cea72fc4 |
| MTL | 54.27 | Not recorded | 68fa77641e209131cea72fc4 |

### MSENet

Accuracy: 78.63. Result ID: 69949c9b3a6c3148491e6557.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77641e209131cea72fc4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77641e209131cea72fc4.md>)

[Implementation](<https://github.com/FatemehAskari/MSENet>)

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

### CAN

Accuracy: 78.22. Result ID: 69949c9b3a6c3148491e6556.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77641e209131cea72fc4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa667e1e209131cea1099c.md>)

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

### BL++

Accuracy: 75.79. Result ID: 69949c9b3a6c3148491e654f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77641e209131cea72fc4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66e41e209131cea12e8a.md>)

[Implementation](<https://github.com/wyharveychen/CloserLookFewShot>)

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

### ANIL+MLP

Accuracy: 75.73. Result ID: 69949c9b3a6c3148491e6551.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77641e209131cea72fc4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71761e209131cea51624.md>)

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

### DN4

Accuracy: 75.01. Result ID: 69949c9b3a6c3148491e6555.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77641e209131cea72fc4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65a41e209131cea0b80d.md>)

[Implementation](<https://github.com/WenbinLee/DN4.git>)

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

### PN

Accuracy: 70.96. Result ID: 69949c9b3a6c3148491e6554.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77641e209131cea72fc4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa636e1e209131ce9febd3.md>)

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

### MTL+MLP

Accuracy: 65.19. Result ID: 69949c9b3a6c3148491e6553.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77641e209131cea72fc4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71761e209131cea51624.md>)

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

### ANIL

Accuracy: 63.96. Result ID: 69949c9b3a6c3148491e6550.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77641e209131cea72fc4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa67071e209131cea13f1d.md>)

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

### MTL

Accuracy: 54.27. Result ID: 69949c9b3a6c3148491e6552.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77641e209131cea72fc4.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65a21e209131cea0b73a.md>)

[Implementation](<https://github.com/y2l/meta-transfer-learning-tensorflow>)

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

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