# Class-Incremental Learning on ImageNet-100 B50 Inc25

Source: [Class-Incremental Learning on ImageNet-100 B50 Inc25](<https://www.sota2.com/research/sota/class-incremental-learning-on-imagenet-100-b50-inc25>)

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

Data updated: 2026-02-26T05:36:04.433Z

Evaluation of Class-Incremental Learning performance on the ImageNet-100 subset defined by 50 base classes (B50) across 25 incremental steps (Inc25).

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 B50 Inc25 |
| Metric | Avg Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 14 of 14 |
| 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/class-incremental-learning-on-imagenet-100-b50-inc25.md?metric=Avg%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Avg Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| DER w/ C-Flat | 87.96 | Not recorded | 68fa75751e209131cea680db |
| FOSTER | 87.81 | Not recorded | 68fa75751e209131cea680db |
| FOSTER w/ C-Flat | 87.81 | Not recorded | 68fa75751e209131cea680db |
| DER | 87.1 | Not recorded | 68fa75751e209131cea680db |
| PODNet w/ C-Flat | 86.85 | Not recorded | 68fa75751e209131cea680db |
| PODNet | 85.95 | Not recorded | 68fa75751e209131cea680db |
| WA w/ C-Flat | 83.84 | Not recorded | 68fa75751e209131cea680db |
| MEMO w/ C-Flat | 83.41 | Not recorded | 68fa75751e209131cea680db |
| MEMO | 83.09 | Not recorded | 68fa75751e209131cea680db |
| WA | 80.81 | Not recorded | 68fa75751e209131cea680db |
| iCaRL | 77.25 | Not recorded | 68fa75751e209131cea680db |
| iCaRL w/ C-Flat | 76.22 | Not recorded | 68fa75751e209131cea680db |
| Replay w/ C-Flat | 73.37 | Not recorded | 68fa75751e209131cea680db |
| Replay | 72.18 | Not recorded | 68fa75751e209131cea680db |

### DER w/ C-Flat

Avg Accuracy: 87.96. Result ID: 6993c2bf3a6c3148491855ea.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75751e209131cea680db.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75751e209131cea680db.md>)

Recorded evaluation configuration: {"Expansion":true,"C-Flat":true}. This record does not assert independent reproduction.

### FOSTER

Avg Accuracy: 87.81. Result ID: 6993c2bf3a6c3148491855eb.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75751e209131cea680db.md>)

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

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

Recorded evaluation configuration: {"Expansion":true,"C-Flat":false}. This record does not assert independent reproduction.

### FOSTER w/ C-Flat

Avg Accuracy: 87.81. Result ID: 6993c2bf3a6c3148491855ec.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75751e209131cea680db.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75751e209131cea680db.md>)

Recorded evaluation configuration: {"Expansion":true,"C-Flat":true}. This record does not assert independent reproduction.

### DER

Avg Accuracy: 87.1. Result ID: 6993c2bf3a6c3148491855e9.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75751e209131cea680db.md>)

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

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

Recorded evaluation configuration: {"Expansion":true,"C-Flat":false}. This record does not assert independent reproduction.

### PODNet w/ C-Flat

Avg Accuracy: 86.85. Result ID: 6993c2bf3a6c3148491855e8.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75751e209131cea680db.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75751e209131cea680db.md>)

Recorded evaluation configuration: {"Regularization":true,"Memory":true,"C-Flat":true}. This record does not assert independent reproduction.

### PODNet

Avg Accuracy: 85.95. Result ID: 6993c2bf3a6c3148491855e7.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75751e209131cea680db.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa686b1e209131cea1bffa.md>)

[Implementation](<https://www.sota2.com/github.com/arthurdouillard/incremental_learning.pytorch>)

Recorded evaluation configuration: {"Regularization":true,"Memory":true,"C-Flat":false}. This record does not assert independent reproduction.

### WA w/ C-Flat

Avg Accuracy: 83.84. Result ID: 6993c2bf3a6c3148491855e6.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75751e209131cea680db.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75751e209131cea680db.md>)

Recorded evaluation configuration: {"Regularization":true,"C-Flat":true}. This record does not assert independent reproduction.

### MEMO w/ C-Flat

Avg Accuracy: 83.41. Result ID: 6993c2bf3a6c3148491855ee.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75751e209131cea680db.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75751e209131cea680db.md>)

Recorded evaluation configuration: {"Expansion":true,"C-Flat":true}. This record does not assert independent reproduction.

### MEMO

Avg Accuracy: 83.09. Result ID: 6993c2bf3a6c3148491855ed.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75751e209131cea680db.md>)

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

Recorded evaluation configuration: {"Expansion":true,"C-Flat":false}. This record does not assert independent reproduction.

### WA

Avg Accuracy: 80.81. Result ID: 6993c2bf3a6c3148491855e5.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75751e209131cea680db.md>)

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

Recorded evaluation configuration: {"Regularization":true,"C-Flat":false}. This record does not assert independent reproduction.

### iCaRL

Avg Accuracy: 77.25. Result ID: 6993c2bf3a6c3148491855e3.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75751e209131cea680db.md>)

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

Recorded evaluation configuration: {"Regularization":true,"Memory":true,"C-Flat":false}. This record does not assert independent reproduction.

### iCaRL w/ C-Flat

Avg Accuracy: 76.22. Result ID: 6993c2bf3a6c3148491855e4.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75751e209131cea680db.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75751e209131cea680db.md>)

Recorded evaluation configuration: {"Regularization":true,"Memory":true,"C-Flat":true}. This record does not assert independent reproduction.

### Replay w/ C-Flat

Avg Accuracy: 73.37. Result ID: 6993c2bf3a6c3148491855e2.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75751e209131cea680db.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75751e209131cea680db.md>)

Recorded evaluation configuration: {"Regularization":true,"Memory":true,"C-Flat":true}. This record does not assert independent reproduction.

### Replay

Avg Accuracy: 72.18. Result ID: 6993c2bf3a6c3148491855e1.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75751e209131cea680db.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66b71e209131cea120af.md>)

Recorded evaluation configuration: {"Regularization":true,"Memory":true,"C-Flat":false}. This record does not assert independent reproduction.

Page 1 of 1. This is an index page, not the full collection.
