# Incremental Learning on ImageNet-100 B50Inc2 (T=25) (test)

Source: [Incremental Learning on ImageNet-100 B50Inc2 (T=25) (test)](<https://www.sota2.com/research/sota/incremental-learning-on-imagenet-100-b50inc2-t-25-test>)

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

Data updated: 2026-02-26T05:36:05.096Z

Evaluation of model performance on the test split of the ImageNet-100 dataset configured with B50 base classes and 2 incremental steps (T=25), under an Incremental Learning protocol.

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 | Incremental Learning |
| Dataset (including any stated split) | ImageNet-100 B50Inc2 (T=25) (test) |
| Metric | Avg Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 5 of 5 |
| 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

- [Avg Accuracy](<https://www.sota2.com/research/sota/incremental-learning-on-imagenet-100-b50inc2-t-25-test.md?metric=Avg%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Avg Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| DS-AL | 75.03 | Not recorded | 69520ada53fdd5c36173d35f |
| SCL-PNC | 72.24 | Not recorded | 69520ada53fdd5c36173d35f |
| FOSTER | 69.34 | Not recorded | 69520ada53fdd5c36173d35f |
| WA | 58.34 | Not recorded | 69520ada53fdd5c36173d35f |
| iCaRL | 54.56 | Not recorded | 69520ada53fdd5c36173d35f |

### DS-AL

Avg Accuracy: 75.03. Result ID: 69980c615698665ec466044a.

[Reporting paper](<https://www.sota2.com/research/paper/69520ada53fdd5c36173d35f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa72b31e209131cea5802b.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### SCL-PNC

Avg Accuracy: 72.24. Result ID: 69980c615698665ec466044b.

[Reporting paper](<https://www.sota2.com/research/paper/69520ada53fdd5c36173d35f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69520ada53fdd5c36173d35f.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### FOSTER

Avg Accuracy: 69.34. Result ID: 69980c615698665ec4660449.

[Reporting paper](<https://www.sota2.com/research/paper/69520ada53fdd5c36173d35f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d181e209131cea37af3.md>)

[Implementation](<https://github.com/G-U-N/ECCV22-FOSTER>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### WA

Avg Accuracy: 58.34. Result ID: 69980c615698665ec4660448.

[Reporting paper](<https://www.sota2.com/research/paper/69520ada53fdd5c36173d35f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66aa1e209131cea117b4.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### iCaRL

Avg Accuracy: 54.56. Result ID: 69980c615698665ec4660447.

[Reporting paper](<https://www.sota2.com/research/paper/69520ada53fdd5c36173d35f.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa634e1e209131ce9fded4.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

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