# Incremental Image Classification on ImageNet-100 (test)

Source: [Incremental Image Classification on ImageNet-100 (test)](<https://www.sota2.com/research/sota/incremental-image-classification-on-imagenet-100-test>)

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

Data updated: 2026-02-26T06:07:23.775Z

Evaluation of Incremental Image Classification performance on the test split of the ImageNet-100 dataset, reporting Top-1 and Top-5 average and last accuracies.

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 Image Classification |
| Dataset (including any stated split) | ImageNet-100 (test) |
| Metric | Top-5 Avg Acc |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 7 of 7 |
| 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

- [Top-5 Avg Acc](<https://www.sota2.com/research/sota/incremental-image-classification-on-imagenet-100-test.md?metric=Top-5%20Avg%20Acc>): Higher is better; unit: PERCENT.

- [Top-1 Avg Acc](<https://www.sota2.com/research/sota/incremental-image-classification-on-imagenet-100-test.md?metric=Top-1%20Avg%20Acc>): Higher is better; unit: PERCENT.

- [Top-1 Last Acc](<https://www.sota2.com/research/sota/incremental-image-classification-on-imagenet-100-test.md?metric=Top-1%20Last%20Acc>): Higher is better; unit: PERCENT.

- [Top-5 Last Acc](<https://www.sota2.com/research/sota/incremental-image-classification-on-imagenet-100-test.md?metric=Top-5%20Last%20Acc>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Top-5 Avg Acc | Result date | Report paper |
| --- | --- | --- | --- |
| ResNet18 joint | 95.1 | Not recorded | 68fa6d351e209131cea386d9 |
| DyTox++ | 94.4 | Not recorded | 68fa6d351e209131cea386d9 |
| DyTox+ | 93.72 | Not recorded | 68fa6d351e209131cea386d9 |
| Transf. joint | 93.48 | Not recorded | 68fa6d351e209131cea386d9 |
| DER w/o P | 93.23 | Not recorded | 68fa6d351e209131cea386d9 |
| DyTox | 92.04 | Not recorded | 68fa6d351e209131cea386d9 |
| WA | 91 | Not recorded | 68fa6d351e209131cea386d9 |

### ResNet18 joint

Top-5 Avg Acc: 95.1. Result ID: 698f83733a6c314849f98eff.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d351e209131cea386d9.md>)

Recorded evaluation configuration: {"Number of Parameters (M)":"11.22"}. This record does not assert independent reproduction.

### DyTox++

Top-5 Avg Acc: 94.4. Result ID: 698f83733a6c314849f98f05.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d351e209131cea386d9.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d351e209131cea386d9.md>)

[Implementation](<https://github.com/arthurdouillard/dytox>)

Recorded evaluation configuration: {"Number of Parameters (M)":"11.01"}. This record does not assert independent reproduction.

### DyTox+

Top-5 Avg Acc: 93.72. Result ID: 698f83733a6c314849f98f04.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d351e209131cea386d9.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d351e209131cea386d9.md>)

[Implementation](<https://github.com/arthurdouillard/dytox>)

Recorded evaluation configuration: {"Number of Parameters (M)":"11.01"}. This record does not assert independent reproduction.

### Transf. joint

Top-5 Avg Acc: 93.48. Result ID: 698f83733a6c314849f98f00.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d351e209131cea386d9.md>)

Recorded evaluation configuration: {"Number of Parameters (M)":"11.00"}. This record does not assert independent reproduction.

### DER w/o P

Top-5 Avg Acc: 93.23. Result ID: 698f83733a6c314849f98f02.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d351e209131cea386d9.md>)

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

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

Recorded evaluation configuration: {"Number of Parameters (M)":"112.27"}. This record does not assert independent reproduction.

### DyTox

Top-5 Avg Acc: 92.04. Result ID: 698f83733a6c314849f98f03.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d351e209131cea386d9.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d351e209131cea386d9.md>)

[Implementation](<https://github.com/arthurdouillard/dytox>)

Recorded evaluation configuration: {"Number of Parameters (M)":"11.01"}. This record does not assert independent reproduction.

### WA

Top-5 Avg Acc: 91. Result ID: 698f83733a6c314849f98f01.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6d351e209131cea386d9.md>)

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

Recorded evaluation configuration: {"Number of Parameters (M)":"11.22"}. This record does not assert independent reproduction.

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