# Class Incremental Learning on ImageNet-100 (Base 0 Inc 10) 1.0 (test)

Source: [Class Incremental Learning on ImageNet-100 (Base 0 Inc 10) 1.0 (test)](<https://www.sota2.com/research/sota/class-incremental-learning-on-imagenet-100-base-0-inc-10-1-0-test>)

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

Data updated: 2026-03-10T13:12:31.628Z

Evaluation of Class Incremental Learning performance on the test split of ImageNet-100, specifically configured with Base 0 and Increment 10, reporting Last and Average Accuracy.

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 | Class Incremental Learning |
| Dataset (including any stated split) | ImageNet-100 (Base 0 Inc 10) 1.0 (test) |
| Metric | Last Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 10 of 10 |
| 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

- [Last Accuracy](<https://www.sota2.com/research/sota/class-incremental-learning-on-imagenet-100-base-0-inc-10-1-0-test.md?metric=Last%20Accuracy>): Higher is better; unit: PERCENT.

- [Average Accuracy](<https://www.sota2.com/research/sota/class-incremental-learning-on-imagenet-100-base-0-inc-10-1-0-test.md?metric=Average%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Last Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| GRACE | 66.76 | Not recorded | 69afa5bf2d603e6de3e43f2a |
| DER | 66.56 | Not recorded | 69afa5bf2d603e6de3e43f2a |
| BEEF | 65.6 | Not recorded | 69afa5bf2d603e6de3e43f2a |
| MEMO | 61.04 | Not recorded | 69afa5bf2d603e6de3e43f2a |
| FOSTER | 60.78 | Not recorded | 69afa5bf2d603e6de3e43f2a |
| DGR | 54.18 | Not recorded | 69afa5bf2d603e6de3e43f2a |
| ICARL | 50.46 | Not recorded | 69afa5bf2d603e6de3e43f2a |
| REPLAY | 42.64 | Not recorded | 69afa5bf2d603e6de3e43f2a |
| EWC | 10.86 | Not recorded | 69afa5bf2d603e6de3e43f2a |
| FINETUNE | 9.28 | Not recorded | 69afa5bf2d603e6de3e43f2a |

### GRACE

Last Accuracy: 66.76. Result ID: 69b018a86dbb7075b95a2c9b.

[Reporting paper](<https://www.sota2.com/research/paper/69afa5bf2d603e6de3e43f2a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69afa5bf2d603e6de3e43f2a.md>)

Recorded evaluation configuration: {"#P":"78.19"}. This record does not assert independent reproduction.

### DER

Last Accuracy: 66.56. Result ID: 69b018a86dbb7075b95a2c96.

[Reporting paper](<https://www.sota2.com/research/paper/69afa5bf2d603e6de3e43f2a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa699b1e209131cea23084.md>)

[Implementation](<https://github.com/Rhyssiyan/DER-ClassIL.pytorch>)

Recorded evaluation configuration: {"#P":"111.7"}. This record does not assert independent reproduction.

### BEEF

Last Accuracy: 65.6. Result ID: 69b018a86dbb7075b95a2c99.

[Reporting paper](<https://www.sota2.com/research/paper/69afa5bf2d603e6de3e43f2a.md>)

Recorded evaluation configuration: {"#P":"111.7"}. This record does not assert independent reproduction.

### MEMO

Last Accuracy: 61.04. Result ID: 69b018a86dbb7075b95a2c98.

[Reporting paper](<https://www.sota2.com/research/paper/69afa5bf2d603e6de3e43f2a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e8c1e209131cea407e9.md>)

Recorded evaluation configuration: {"#P":"86.72"}. This record does not assert independent reproduction.

### FOSTER

Last Accuracy: 60.78. Result ID: 69b018a86dbb7075b95a2c97.

[Reporting paper](<https://www.sota2.com/research/paper/69afa5bf2d603e6de3e43f2a.md>)

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

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

Recorded evaluation configuration: {"#P":"11.17"}. This record does not assert independent reproduction.

### DGR

Last Accuracy: 54.18. Result ID: 69b018a86dbb7075b95a2c9a.

[Reporting paper](<https://www.sota2.com/research/paper/69afa5bf2d603e6de3e43f2a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa72bb1e209131cea58382.md>)

Recorded evaluation configuration: {"#P":"11.17"}. This record does not assert independent reproduction.

### ICARL

Last Accuracy: 50.46. Result ID: 69b018a86dbb7075b95a2c95.

[Reporting paper](<https://www.sota2.com/research/paper/69afa5bf2d603e6de3e43f2a.md>)

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

Recorded evaluation configuration: {"#P":"11.17"}. This record does not assert independent reproduction.

### REPLAY

Last Accuracy: 42.64. Result ID: 69b018a86dbb7075b95a2c93.

[Reporting paper](<https://www.sota2.com/research/paper/69afa5bf2d603e6de3e43f2a.md>)

Recorded evaluation configuration: {"#P":"11.17"}. This record does not assert independent reproduction.

### EWC

Last Accuracy: 10.86. Result ID: 69b018a86dbb7075b95a2c94.

[Reporting paper](<https://www.sota2.com/research/paper/69afa5bf2d603e6de3e43f2a.md>)

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

Recorded evaluation configuration: {"#P":"11.17"}. This record does not assert independent reproduction.

### FINETUNE

Last Accuracy: 9.28. Result ID: 69b018a86dbb7075b95a2c92.

[Reporting paper](<https://www.sota2.com/research/paper/69afa5bf2d603e6de3e43f2a.md>)

Recorded evaluation configuration: {"#P":"11.17"}. This record does not assert independent reproduction.

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