# Continual Learning on ImageNet-R 10 tasks 1.0 (test)

Source: [Continual Learning on ImageNet-R 10 tasks 1.0 (test)](<https://www.sota2.com/research/sota/continual-learning-on-imagenet-r-10-tasks-1-0-test>)

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

Data updated: 2026-02-26T05:21:36.427Z

Evaluation of Continual Learning performance on the test split of the ImageNet-R dataset structured across 10 tasks, measured using ACC10 and Average ACC10.

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 | Continual Learning |
| Dataset (including any stated split) | ImageNet-R 10 tasks 1.0 (test) |
| Metric | ACC10 |
| 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

- [ACC10](<https://www.sota2.com/research/sota/continual-learning-on-imagenet-r-10-tasks-1-0-test.md?metric=ACC10>): Higher is better; unit: PERCENT.

- [Average ACC10](<https://www.sota2.com/research/sota/continual-learning-on-imagenet-r-10-tasks-1-0-test.md?metric=Average%20ACC10>): Higher is better; unit: PERCENT.

## Recorded results

| Method | ACC10 | Result date | Report paper |
| --- | --- | --- | --- |
| InfLoRA | 71.84 | Not recorded | 68fa72bb1e209131cea58354 |
| InfLoRA-b5 | 69.72 | Not recorded | 68fa72bb1e209131cea58354 |
| C-LoRA | 68.6 | Not recorded | 68fa72bb1e209131cea58354 |
| InfLoRA | 68.31 | Not recorded | 68fa72bb1e209131cea58354 |
| CODA-P | 68.02 | Not recorded | 68fa72bb1e209131cea58354 |
| InfLoRA-b5 | 66.16 | Not recorded | 68fa72bb1e209131cea58354 |
| LAE | 64.14 | Not recorded | 68fa72bb1e209131cea58354 |
| CODA-P | 64.02 | Not recorded | 68fa72bb1e209131cea58354 |
| DualPrompt | 63.78 | Not recorded | 68fa72bb1e209131cea58354 |
| C-LoRA | 63.07 | Not recorded | 68fa72bb1e209131cea58354 |
| LAE | 61.03 | Not recorded | 68fa72bb1e209131cea58354 |
| L2P | 60.8 | Not recorded | 68fa72bb1e209131cea58354 |
| DualPrompt | 60.23 | Not recorded | 68fa72bb1e209131cea58354 |
| L2P | 56.71 | Not recorded | 68fa72bb1e209131cea58354 |

### InfLoRA

ACC10: 71.84. Result ID: 6992738c3a6c3148490f09d9.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72bb1e209131cea58354.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa72bb1e209131cea58354.md>)

[Implementation](<https://github.com/liangyanshuo/InfLoRA>)

Recorded evaluation configuration: {"Pre-trained model":"iBOT-1k"}. This record does not assert independent reproduction.

### InfLoRA-b5

ACC10: 69.72. Result ID: 6992738c3a6c3148490f09d8.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72bb1e209131cea58354.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa72bb1e209131cea58354.md>)

[Implementation](<https://github.com/liangyanshuo/InfLoRA>)

Recorded evaluation configuration: {"Pre-trained model":"iBOT-1k"}. This record does not assert independent reproduction.

### C-LoRA

ACC10: 68.6. Result ID: 6992738c3a6c3148490f09d6.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72bb1e209131cea58354.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa73131e209131cea5a53c.md>)

Recorded evaluation configuration: {"Pre-trained model":"iBOT-1k"}. This record does not assert independent reproduction.

### InfLoRA

ACC10: 68.31. Result ID: 6992738c3a6c3148490f09d2.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72bb1e209131cea58354.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa72bb1e209131cea58354.md>)

[Implementation](<https://github.com/liangyanshuo/InfLoRA>)

Recorded evaluation configuration: {"Pre-trained model":"DINO-1k"}. This record does not assert independent reproduction.

### CODA-P

ACC10: 68.02. Result ID: 6992738c3a6c3148490f09d5.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72bb1e209131cea58354.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6ee41e209131cea42add.md>)

Recorded evaluation configuration: {"Pre-trained model":"iBOT-1k"}. This record does not assert independent reproduction.

### InfLoRA-b5

ACC10: 66.16. Result ID: 6992738c3a6c3148490f09d1.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72bb1e209131cea58354.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa72bb1e209131cea58354.md>)

[Implementation](<https://github.com/liangyanshuo/InfLoRA>)

Recorded evaluation configuration: {"Pre-trained model":"DINO-1k"}. This record does not assert independent reproduction.

### LAE

ACC10: 64.14. Result ID: 6992738c3a6c3148490f09d7.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72bb1e209131cea58354.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa70581e209131cea4a6d2.md>)

Recorded evaluation configuration: {"Pre-trained model":"iBOT-1k"}. This record does not assert independent reproduction.

### CODA-P

ACC10: 64.02. Result ID: 6992738c3a6c3148490f09ce.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72bb1e209131cea58354.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6ee41e209131cea42add.md>)

Recorded evaluation configuration: {"Pre-trained model":"DINO-1k"}. This record does not assert independent reproduction.

### DualPrompt

ACC10: 63.78. Result ID: 6992738c3a6c3148490f09d4.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72bb1e209131cea58354.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d341e209131cea38614.md>)

Recorded evaluation configuration: {"Pre-trained model":"iBOT-1k"}. This record does not assert independent reproduction.

### C-LoRA

ACC10: 63.07. Result ID: 6992738c3a6c3148490f09cf.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72bb1e209131cea58354.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa73131e209131cea5a53c.md>)

Recorded evaluation configuration: {"Pre-trained model":"DINO-1k"}. This record does not assert independent reproduction.

### LAE

ACC10: 61.03. Result ID: 6992738c3a6c3148490f09d0.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72bb1e209131cea58354.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa70581e209131cea4a6d2.md>)

Recorded evaluation configuration: {"Pre-trained model":"DINO-1k"}. This record does not assert independent reproduction.

### L2P

ACC10: 60.8. Result ID: 6992738c3a6c3148490f09d3.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72bb1e209131cea58354.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c0c1e209131cea31ad7.md>)

[Implementation](<https://github.com/google-research/l2p>)

Recorded evaluation configuration: {"Pre-trained model":"iBOT-1k"}. This record does not assert independent reproduction.

### DualPrompt

ACC10: 60.23. Result ID: 6992738c3a6c3148490f09cd.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72bb1e209131cea58354.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d341e209131cea38614.md>)

Recorded evaluation configuration: {"Pre-trained model":"DINO-1k"}. This record does not assert independent reproduction.

### L2P

ACC10: 56.71. Result ID: 6992738c3a6c3148490f09cc.

[Reporting paper](<https://www.sota2.com/research/paper/68fa72bb1e209131cea58354.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c0c1e209131cea31ad7.md>)

[Implementation](<https://github.com/google-research/l2p>)

Recorded evaluation configuration: {"Pre-trained model":"DINO-1k"}. This record does not assert independent reproduction.

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