# Cross-domain Few-shot Character Recognition on Omniglot to EMNIST (novel classes)

Source: [Cross-domain Few-shot Character Recognition on Omniglot to EMNIST (novel classes)](<https://www.sota2.com/research/sota/cross-domain-few-shot-character-recognition-on-omniglot-to-emnist-novel-classes>)

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

Data updated: 2026-02-26T05:27:35.559Z

Evaluation of cross-domain few-shot character recognition performance, transferring knowledge from Omniglot to novel classes in EMNIST.

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 | Cross-domain Few-shot Character Recognition |
| Dataset (including any stated split) | Omniglot to EMNIST cross-domain (novel classes) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 12 of 12 |
| 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/cross-domain-few-shot-character-recognition-on-omniglot-to-emnist-novel-classes.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| RelationNet | 88.94 | Not recorded | 68fa66e41e209131cea12e8a |
| MAML | 88.24 | Not recorded | 68fa66e41e209131cea12e8a |
| MatchingNet | 87.6 | Not recorded | 68fa66e41e209131cea12e8a |
| Baseline++ | 87.31 | Not recorded | 68fa66e41e209131cea12e8a |
| ProtoNet | 87.04 | Not recorded | 68fa66e41e209131cea12e8a |
| Baseline | 86 | Not recorded | 68fa66e41e209131cea12e8a |
| RelationNet | 75.55 | Not recorded | 68fa66e41e209131cea12e8a |
| MatchingNet | 72.71 | Not recorded | 68fa66e41e209131cea12e8a |
| MAML | 72.04 | Not recorded | 68fa66e41e209131cea12e8a |
| ProtoNet | 70.43 | Not recorded | 68fa66e41e209131cea12e8a |
| Baseline++ | 64.74 | Not recorded | 68fa66e41e209131cea12e8a |
| Baseline | 63.94 | Not recorded | 68fa66e41e209131cea12e8a |

### RelationNet

Accuracy: 88.94. Result ID: 698d0e838b517eb4331eaa41.

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

[Method origin paper](<https://www.sota2.com/research/paper/68fa64301e209131cea03588.md>)

[Implementation](<https://github.com/lzrobots/DeepEmbeddingModel_ZSL>)

Recorded evaluation configuration: {"N-shot":"5-shot","Backbone":"Conv-4","Data Augmentation":"None","N-way":"5-way"}. This record does not assert independent reproduction.

### MAML

Accuracy: 88.24. Result ID: 698d0e838b517eb4331eaa40.

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

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

Recorded evaluation configuration: {"N-shot":"5-shot","Backbone":"Conv-4","Data Augmentation":"None","N-way":"5-way"}. This record does not assert independent reproduction.

### MatchingNet

Accuracy: 87.6. Result ID: 698d0e838b517eb4331eaa3e.

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

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

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

Recorded evaluation configuration: {"N-shot":"5-shot","Backbone":"Conv-4","Data Augmentation":"None","N-way":"5-way"}. This record does not assert independent reproduction.

### Baseline++

Accuracy: 87.31. Result ID: 698d0e838b517eb4331eaa3d.

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

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

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

Recorded evaluation configuration: {"N-shot":"5-shot","Backbone":"Conv-4","Data Augmentation":"None","N-way":"5-way","Training Epochs":5}. This record does not assert independent reproduction.

### ProtoNet

Accuracy: 87.04. Result ID: 698d0e838b517eb4331eaa3f.

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

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

Recorded evaluation configuration: {"N-shot":"5-shot","Backbone":"Conv-4","Data Augmentation":"None","N-way":"5-way"}. This record does not assert independent reproduction.

### Baseline

Accuracy: 86. Result ID: 698d0e838b517eb4331eaa3c.

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

Recorded evaluation configuration: {"N-shot":"5-shot","Backbone":"Conv-4","Data Augmentation":"None","N-way":"5-way","Training Epochs":5}. This record does not assert independent reproduction.

### RelationNet

Accuracy: 75.55. Result ID: 698d0e838b517eb4331eaa3b.

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

[Method origin paper](<https://www.sota2.com/research/paper/68fa64301e209131cea03588.md>)

[Implementation](<https://github.com/lzrobots/DeepEmbeddingModel_ZSL>)

Recorded evaluation configuration: {"N-shot":"1-shot","Backbone":"Conv-4","Data Augmentation":"None","N-way":"5-way"}. This record does not assert independent reproduction.

### MatchingNet

Accuracy: 72.71. Result ID: 698d0e838b517eb4331eaa38.

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

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

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

Recorded evaluation configuration: {"N-shot":"1-shot","Backbone":"Conv-4","Data Augmentation":"None","N-way":"5-way"}. This record does not assert independent reproduction.

### MAML

Accuracy: 72.04. Result ID: 698d0e838b517eb4331eaa3a.

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

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

Recorded evaluation configuration: {"N-shot":"1-shot","Backbone":"Conv-4","Data Augmentation":"None","N-way":"5-way"}. This record does not assert independent reproduction.

### ProtoNet

Accuracy: 70.43. Result ID: 698d0e838b517eb4331eaa39.

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

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

Recorded evaluation configuration: {"N-shot":"1-shot","Backbone":"Conv-4","Data Augmentation":"None","N-way":"5-way"}. This record does not assert independent reproduction.

### Baseline++

Accuracy: 64.74. Result ID: 698d0e838b517eb4331eaa37.

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

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

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

Recorded evaluation configuration: {"N-shot":"1-shot","Backbone":"Conv-4","Data Augmentation":"None","N-way":"5-way","Training Epochs":5}. This record does not assert independent reproduction.

### Baseline

Accuracy: 63.94. Result ID: 698d0e838b517eb4331eaa36.

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

Recorded evaluation configuration: {"N-shot":"1-shot","Backbone":"Conv-4","Data Augmentation":"None","N-way":"5-way","Training Epochs":5}. This record does not assert independent reproduction.

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