# Class-Incremental Learning on ImageNet-100 (50-10 scenario)

Source: [Class-Incremental Learning on ImageNet-100 (50-10 scenario)](<https://www.sota2.com/research/sota/class-incremental-learning-on-imagenet-100-50-10-scenario>)

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

Data updated: 2026-03-11T07:13:57.781Z

Evaluation of Class-Incremental Learning performance on the ImageNet-100 dataset configured under the specific 50-10 scenario, 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 50-10 scenario |
| Metric | Last Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 8 of 8 |
| 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-100-50-10-scenario.md?metric=Last%20Accuracy>): Higher is better; unit: PERCENT.

- [Average Accuracy](<https://www.sota2.com/research/sota/class-incremental-learning-on-imagenet-100-50-10-scenario.md?metric=Average%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Last Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| TagFex w/ CPNS | 77.19 | Not recorded | 69b0f6fb2d603e6de3e45cd5 |
| TagFex | 75.54 | Not recorded | 69b0f6fb2d603e6de3e45cd5 |
| TagFex-P w/ CPNS | 75.12 | Not recorded | 69b0f6fb2d603e6de3e45cd5 |
| TagFex-P | 74.13 | Not recorded | 69b0f6fb2d603e6de3e45cd5 |
| FOSTER w/ CPNS | 72.77 | Not recorded | 69b0f6fb2d603e6de3e45cd5 |
| DER w/ CPNS | 72.54 | Not recorded | 69b0f6fb2d603e6de3e45cd5 |
| FOSTER | 71.6 | Not recorded | 69b0f6fb2d603e6de3e45cd5 |
| DER | 71.08 | Not recorded | 69b0f6fb2d603e6de3e45cd5 |

### TagFex w/ CPNS

Last Accuracy: 77.19. Result ID: 69b1161c6dbb7075b95b09bb.

[Reporting paper](<https://www.sota2.com/research/paper/69b0f6fb2d603e6de3e45cd5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69b0f6fb2d603e6de3e45cd5.md>)

Recorded evaluation configuration: {"Scenario":"50-10"}. This record does not assert independent reproduction.

### TagFex

Last Accuracy: 75.54. Result ID: 69b1161c6dbb7075b95b09ba.

[Reporting paper](<https://www.sota2.com/research/paper/69b0f6fb2d603e6de3e45cd5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77371e209131cea71afc.md>)

[Implementation](<https://github.com/bwnzheng/TagFex_CVPR2025>)

Recorded evaluation configuration: {"Scenario":"50-10"}. This record does not assert independent reproduction.

### TagFex-P w/ CPNS

Last Accuracy: 75.12. Result ID: 69b1161c6dbb7075b95b09b9.

[Reporting paper](<https://www.sota2.com/research/paper/69b0f6fb2d603e6de3e45cd5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69b0f6fb2d603e6de3e45cd5.md>)

Recorded evaluation configuration: {"Scenario":"50-10"}. This record does not assert independent reproduction.

### TagFex-P

Last Accuracy: 74.13. Result ID: 69b1161c6dbb7075b95b09b8.

[Reporting paper](<https://www.sota2.com/research/paper/69b0f6fb2d603e6de3e45cd5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa660e1e209131cea0ded0.md>)

Recorded evaluation configuration: {"Scenario":"50-10"}. This record does not assert independent reproduction.

### FOSTER w/ CPNS

Last Accuracy: 72.77. Result ID: 69b1161c6dbb7075b95b09b7.

[Reporting paper](<https://www.sota2.com/research/paper/69b0f6fb2d603e6de3e45cd5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69b0f6fb2d603e6de3e45cd5.md>)

Recorded evaluation configuration: {"Scenario":"50-10"}. This record does not assert independent reproduction.

### DER w/ CPNS

Last Accuracy: 72.54. Result ID: 69b1161c6dbb7075b95b09b5.

[Reporting paper](<https://www.sota2.com/research/paper/69b0f6fb2d603e6de3e45cd5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69b0f6fb2d603e6de3e45cd5.md>)

Recorded evaluation configuration: {"Scenario":"50-10"}. This record does not assert independent reproduction.

### FOSTER

Last Accuracy: 71.6. Result ID: 69b1161c6dbb7075b95b09b6.

[Reporting paper](<https://www.sota2.com/research/paper/69b0f6fb2d603e6de3e45cd5.md>)

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

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

Recorded evaluation configuration: {"Scenario":"50-10"}. This record does not assert independent reproduction.

### DER

Last Accuracy: 71.08. Result ID: 69b1161c6dbb7075b95b09b4.

[Reporting paper](<https://www.sota2.com/research/paper/69b0f6fb2d603e6de3e45cd5.md>)

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

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

Recorded evaluation configuration: {"Scenario":"50-10"}. This record does not assert independent reproduction.

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