# Exemplar-Free Class-Incremental Learning on ImageNet-R 10-Tasks

Source: [Exemplar-Free Class-Incremental Learning on ImageNet-R 10-Tasks](<https://www.sota2.com/research/sota/exemplar-free-class-incremental-learning-on-imagenet-r-10-tasks>)

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

Data updated: 2026-03-24T14:25:15.373Z

Evaluation of model performance on the ImageNet-R 10-Tasks dataset under an Exemplar-Free Class-Incremental Learning setting, reporting AA, AIA, and FM metrics.

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 | Exemplar-Free Class-Incremental Learning |
| Dataset (including any stated split) | ImageNet-R 10-Tasks |
| Metric | Average Accuracy (AA) |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 6 of 6 |
| 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 (AA)](<https://www.sota2.com/research/sota/exemplar-free-class-incremental-learning-on-imagenet-r-10-tasks.md?metric=Average%20Accuracy%20(AA)>): Higher is better; unit: PERCENT.

- [Accuracy Incremental Average (AIA)](<https://www.sota2.com/research/sota/exemplar-free-class-incremental-learning-on-imagenet-r-10-tasks.md?metric=Accuracy%20Incremental%20Average%20(AIA)>): Higher is better; unit: PERCENT.

- [Forgetting Metric (FM)](<https://www.sota2.com/research/sota/exemplar-free-class-incremental-learning-on-imagenet-r-10-tasks.md?metric=Forgetting%20Metric%20(FM)>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Average Accuracy (AA) | Result date | Report paper |
| --- | --- | --- | --- |
| Inf-SSM | 43.82 | Not recorded | 68fa78c91e209131cea7a86b |
| EWC | 41.99 | Not recorded | 68fa78c91e209131cea7a86b |
| LwF-ABC | 41.85 | Not recorded | 68fa78c91e209131cea7a86b |
| SI | 41.59 | Not recorded | 68fa78c91e209131cea7a86b |
| MAS | 40.1 | Not recorded | 68fa78c91e209131cea7a86b |
| Seq | 32.95 | Not recorded | 68fa78c91e209131cea7a86b |

### Inf-SSM

Average Accuracy (AA): 43.82. Result ID: 69c29eba47f34ce924ab40a1.

[Reporting paper](<https://www.sota2.com/research/paper/68fa78c91e209131cea7a86b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa78c91e209131cea7a86b.md>)

Recorded evaluation configuration: {"Backbone":"Vim-Small","Regularization focus":"geometry-aware"}. This record does not assert independent reproduction.

### EWC

Average Accuracy (AA): 41.99. Result ID: 69c29eba47f34ce924ab409d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa78c91e209131cea7a86b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6cb31e209131cea3555e.md>)

Recorded evaluation configuration: {"Backbone":"Vim-Small","Regularization focus":"(A, B, C)"}. This record does not assert independent reproduction.

### LwF-ABC

Average Accuracy (AA): 41.85. Result ID: 69c29eba47f34ce924ab40a0.

[Reporting paper](<https://www.sota2.com/research/paper/68fa78c91e209131cea7a86b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa63201e209131ce9fd0b3.md>)

Recorded evaluation configuration: {"Backbone":"Vim-Small","Regularization focus":"(A, B, C)"}. This record does not assert independent reproduction.

### SI

Average Accuracy (AA): 41.59. Result ID: 69c29eba47f34ce924ab409e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa78c91e209131cea7a86b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa5ed01e209131ce9e565c.md>)

Recorded evaluation configuration: {"Backbone":"Vim-Small","Regularization focus":"(A, B, C)"}. This record does not assert independent reproduction.

### MAS

Average Accuracy (AA): 40.1. Result ID: 69c29eba47f34ce924ab409f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa78c91e209131cea7a86b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64e61e209131cea073fa.md>)

Recorded evaluation configuration: {"Backbone":"Vim-Small","Regularization focus":"(A, B, C)"}. This record does not assert independent reproduction.

### Seq

Average Accuracy (AA): 32.95. Result ID: 69c29eba47f34ce924ab409c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa78c91e209131cea7a86b.md>)

Recorded evaluation configuration: {"Backbone":"Vim-Small","Regularization focus":"(A, B, C)"}. This record does not assert independent reproduction.

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