# Class-incremental image classification on NICO++ C (test) Source: [Class-incremental image classification on NICO++ C (test)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:34:28.124Z Evaluation of Class-incremental image classification performance on the test split of the NICO++ C dataset, reporting sequential accuracy metrics (T1 through T6). 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 image classification | | Dataset (including any stated split) | NICO++ C (test) | | Metric | Accuracy (T1) | | 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 - [Accuracy (T1)](): Higher is better; unit: PERCENT. - [Accuracy (T2)](): Higher is better; unit: PERCENT. - [Accuracy (T3)](): Higher is better; unit: PERCENT. - [Accuracy (T4)](): Higher is better; unit: PERCENT. - [Accuracy (T5)](): Higher is better; unit: PERCENT. - [Accuracy (T6)](): Higher is better; unit: PERCENT. ## Recorded results | Method | Accuracy (T1) | Result date | Report paper | | --- | --- | --- | --- | | FedET | 90.38 | Not recorded | 6997eac409c33900fcd767de | | FedIL+ | 90.16 | Not recorded | 6997eac409c33900fcd767de | | FedAvg | 89.03 | Not recorded | 6997eac409c33900fcd767de | | FedProx | 88.96 | Not recorded | 6997eac409c33900fcd767de | | FedEWC | 88.96 | Not recorded | 6997eac409c33900fcd767de | | OSCAR-IL | 79.67 | Not recorded | 6997eac409c33900fcd767de | | OSCAR-R | 79.67 | Not recorded | 6997eac409c33900fcd767de | | OSI-FL | 79.67 | Not recorded | 6997eac409c33900fcd767de | ### FedET Accuracy (T1): 90.38. Result ID: 699b10525698665ec4a3a570. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ResNet-18"}. This record does not assert independent reproduction. ### FedIL+ Accuracy (T1): 90.16. Result ID: 699b10525698665ec4a3a571. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"ResNet-18"}. This record does not assert independent reproduction. ### FedAvg Accuracy (T1): 89.03. Result ID: 699b10525698665ec4a3a56d. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ResNet-18"}. This record does not assert independent reproduction. ### FedProx Accuracy (T1): 88.96. Result ID: 699b10525698665ec4a3a56e. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ResNet-18"}. This record does not assert independent reproduction. ### FedEWC Accuracy (T1): 88.96. Result ID: 699b10525698665ec4a3a56f. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ResNet-18"}. This record does not assert independent reproduction. ### OSCAR-IL Accuracy (T1): 79.67. Result ID: 699b10525698665ec4a3a572. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"ResNet-18"}. This record does not assert independent reproduction. ### OSCAR-R Accuracy (T1): 79.67. Result ID: 699b10525698665ec4a3a573. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"ResNet-18"}. This record does not assert independent reproduction. ### OSI-FL Accuracy (T1): 79.67. Result ID: 699b10525698665ec4a3a574. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ResNet-18","Retained samples p":5}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.