# Domain-Incremental Classification on NICO\_U (test) Source: [Domain-Incremental Classification on NICO\_U (test)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:34:28.072Z Evaluation of Domain-Incremental Classification performance on the test split of the NICO\_U dataset, tracking accuracy across incremental learning stages (T1-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 | Domain-Incremental Classification | | Dataset (including any stated split) | NICO\_U (test) | | Metric | Accuracy (T1) | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 6 of 6 | | 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 | | --- | --- | --- | --- | | FedAvg | 69.22 | Not recorded | 6997eac409c33900fcd767de | | FedProx | 69.22 | Not recorded | 6997eac409c33900fcd767de | | FedEWC | 69.22 | Not recorded | 6997eac409c33900fcd767de | | OSCAR-IL | 59.98 | Not recorded | 6997eac409c33900fcd767de | | OSCAR-R | 59.98 | Not recorded | 6997eac409c33900fcd767de | | OSI-FL | 59.98 | Not recorded | 6997eac409c33900fcd767de | ### FedAvg Accuracy (T1): 69.22. Result ID: 699b10525698665ec4a3a551. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ResNet-18","Incremental Setup":"Domain-Incremental"}. This record does not assert independent reproduction. ### FedProx Accuracy (T1): 69.22. Result ID: 699b10525698665ec4a3a552. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ResNet-18","Incremental Setup":"Domain-Incremental"}. This record does not assert independent reproduction. ### FedEWC Accuracy (T1): 69.22. Result ID: 699b10525698665ec4a3a553. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ResNet-18","Incremental Setup":"Domain-Incremental","lambda":0.1}. This record does not assert independent reproduction. ### OSCAR-IL Accuracy (T1): 59.98. Result ID: 699b10525698665ec4a3a554. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"ResNet-18","Incremental Setup":"Domain-Incremental"}. This record does not assert independent reproduction. ### OSCAR-R Accuracy (T1): 59.98. Result ID: 699b10525698665ec4a3a555. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"ResNet-18","Incremental Setup":"Domain-Incremental","lambda":0.1}. This record does not assert independent reproduction. ### OSI-FL Accuracy (T1): 59.98. Result ID: 699b10525698665ec4a3a556. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ResNet-18","Incremental Setup":"Domain-Incremental","retained samples per task":5}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.