# Class Incremental Learning on ImageNet-R B100 Inc10 (test) Source: [Class Incremental Learning on ImageNet-R B100 Inc10 (test)]() Collection index: [llms.txt]() Data updated: 2026-05-11T09:41:53.721Z Evaluation of Class Incremental Learning performance on the test split of ImageNet-R configured with B100 base classes and 10 incremental steps, reporting 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 | Class Incremental Learning | | Dataset (including any stated split) | ImageNet-R B100 Inc10 (test) | | Metric | Average Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 9 of 9 | | 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 - [Average Accuracy](): Higher is better; unit: PERCENT. - [Last Accuracy](): Higher is better; unit: PERCENT. ## Recorded results | Method | Average Accuracy | Result date | Report paper | | --- | --- | --- | --- | | HDSD | 84.77 | Not recorded | 6a0162afdbc836b87d82324f | | RAPF | 83.43 | Not recorded | 6a0162afdbc836b87d82324f | | ENGINE | 82.95 | Not recorded | 6a0162afdbc836b87d82324f | | BOFA | 81.71 | Not recorded | 6a0162afdbc836b87d82324f | | PROOF | 81.61 | Not recorded | 6a0162afdbc836b87d82324f | | ADAM-Adapter | 79.87 | Not recorded | 6a0162afdbc836b87d82324f | | DualPrompt | 57.37 | Not recorded | 6a0162afdbc836b87d82324f | | CODA | 56.62 | Not recorded | 6a0162afdbc836b87d82324f | | L2P++ | 56.17 | Not recorded | 6a0162afdbc836b87d82324f | ### HDSD Average Accuracy: 84.77. Result ID: 6a01a45f47f34ce924e3e910. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### RAPF Average Accuracy: 83.43. Result ID: 6a01a45f47f34ce924e3e90f. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### ENGINE Average Accuracy: 82.95. Result ID: 6a01a45f47f34ce924e3e90d. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### BOFA Average Accuracy: 81.71. Result ID: 6a01a45f47f34ce924e3e90e. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### PROOF Average Accuracy: 81.61. Result ID: 6a01a45f47f34ce924e3e908. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### ADAM-Adapter Average Accuracy: 79.87. Result ID: 6a01a45f47f34ce924e3e90c. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### DualPrompt Average Accuracy: 57.37. Result ID: 6a01a45f47f34ce924e3e90a. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### CODA Average Accuracy: 56.62. Result ID: 6a01a45f47f34ce924e3e90b. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### L2P++ Average Accuracy: 56.17. Result ID: 6a01a45f47f34ce924e3e909. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.