# Few-Shot Class-Incremental Learning on N-Caltech101 eight 5-way 5-shot incremental tasks

Source: [Few-Shot Class-Incremental Learning on N-Caltech101 eight 5-way 5-shot incremental tasks](<https://www.sota2.com/research/sota/few-shot-class-incremental-learning-on-n-caltech101-eight-5-way-5-shot-incremental-tasks>)

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

Data updated: 2026-05-12T11:01:56.487Z

Evaluation of Few-Shot Class-Incremental Learning performance on the N-Caltech101 dataset configured for eight distinct 5-way, 5-shot incremental learning scenarios, reporting average (Aavg) and last-step (Alast) 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 | Few-Shot Class-Incremental Learning |
| Dataset (including any stated split) | N-Caltech101 eight 5-way 5-shot incremental tasks |
| 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-class-incremental-learning-on-n-caltech101-eight-5-way-5-shot-incremental-tasks.md?metric=Average%20Accuracy>): Higher is better; unit: PERCENT.

- [Last-Step Accuracy](<https://www.sota2.com/research/sota/few-shot-class-incremental-learning-on-n-caltech101-eight-5-way-5-shot-incremental-tasks.md?metric=Last-Step%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Average Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| SAFA-SNN | 45.68 | Not recorded | 68fa7bdd1e209131cea8adee |
| TEEN | 34.23 | Not recorded | 68fa7bdd1e209131cea8adee |
| WARP | 25.34 | Not recorded | 68fa7bdd1e209131cea8adee |

### SAFA-SNN

Average Accuracy: 45.68. Result ID: 6a03089747f34ce924e6ae8b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7bdd1e209131cea8adee.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7bdd1e209131cea8adee.md>)

Recorded evaluation configuration: {"Version":"SNN"}. This record does not assert independent reproduction.

### TEEN

Average Accuracy: 34.23. Result ID: 6a03089747f34ce924e6ae8a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7bdd1e209131cea8adee.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71601e209131cea50f3d.md>)

[Implementation](<https://github.com/wangkiw/TEEN>)

Recorded evaluation configuration: {"Version":"SNN"}. This record does not assert independent reproduction.

### WARP

Average Accuracy: 25.34. Result ID: 6a03089747f34ce924e6ae89.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7bdd1e209131cea8adee.md>)

Recorded evaluation configuration: {"Version":"SNN"}. This record does not assert independent reproduction.

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