# Class-Incremental Learning on Stanford-Cars (5 tasks) Source: [Class-Incremental Learning on Stanford-Cars (5 tasks)]() Collection index: [llms.txt]() Data updated: 2026-05-12T07:50:25.328Z Evaluation of Class-Incremental Learning performance on the Stanford Cars dataset, specifically configured for 5 sequential tasks. 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) | Stanford-Cars 5 tasks | | Metric | Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 12 of 12 | | 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](): Higher is better; unit: PERCENT. ## Recorded results | Method | Accuracy | Result date | Report paper | | --- | --- | --- | --- | | Joint | 84.4 | Not recorded | 6a02b3f7dbc836b87d82458d | | TRM | 73.2 | Not recorded | 6a02b3f7dbc836b87d82458d | | CLG-CBM | 72.8 | Not recorded | 6a02b3f7dbc836b87d82458d | | DualPrompt | 68.9 | Not recorded | 6a02b3f7dbc836b87d82458d | | MagMax | 68.5 | Not recorded | 6a02b3f7dbc836b87d82458d | | TIES | 67.9 | Not recorded | 6a02b3f7dbc836b87d82458d | | L2P | 67.8 | Not recorded | 6a02b3f7dbc836b87d82458d | | CODAPrompt | 67.4 | Not recorded | 6a02b3f7dbc836b87d82458d | | Model Stock | 66.6 | Not recorded | 6a02b3f7dbc836b87d82458d | | EWC | 65.8 | Not recorded | 6a02b3f7dbc836b87d82458d | | LwF | 65.2 | Not recorded | 6a02b3f7dbc836b87d82458d | | Zero-shot | 64.4 | Not recorded | 6a02b3f7dbc836b87d82458d | ### Joint Accuracy: 84.4. Result ID: 6a02db3b47f34ce924e5618b. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"CLIP ViT-B/16","Method Category":"Baseline"}. This record does not assert independent reproduction. ### TRM Accuracy: 73.2. Result ID: 6a02db3b47f34ce924e56195. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"CLIP ViT-B/16","Method Category":"Model Merging"}. This record does not assert independent reproduction. ### CLG-CBM Accuracy: 72.8. Result ID: 6a02db3b47f34ce924e56191. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Year":"2025","Backbone":"CLIP ViT-B/16","Method Category":"PEFT"}. This record does not assert independent reproduction. ### DualPrompt Accuracy: 68.9. Result ID: 6a02db3b47f34ce924e5618f. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Year":"2023","Backbone":"CLIP ViT-B/16","Method Category":"PEFT"}. This record does not assert independent reproduction. ### MagMax Accuracy: 68.5. Result ID: 6a02db3b47f34ce924e56194. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Year":"2024","Backbone":"CLIP ViT-B/16","Method Category":"Model Merging"}. This record does not assert independent reproduction. ### TIES Accuracy: 67.9. Result ID: 6a02db3b47f34ce924e56193. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Year":"2023","Backbone":"CLIP ViT-B/16","Method Category":"Model Merging"}. This record does not assert independent reproduction. ### L2P Accuracy: 67.8. Result ID: 6a02db3b47f34ce924e5618e. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Year":"2022","Backbone":"CLIP ViT-B/16","Method Category":"PEFT"}. This record does not assert independent reproduction. ### CODAPrompt Accuracy: 67.4. Result ID: 6a02db3b47f34ce924e56190. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Year":"2023","Backbone":"CLIP ViT-B/16","Method Category":"PEFT"}. This record does not assert independent reproduction. ### Model Stock Accuracy: 66.6. Result ID: 6a02db3b47f34ce924e56192. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Year":"2024","Backbone":"CLIP ViT-B/16","Method Category":"Model Merging"}. This record does not assert independent reproduction. ### EWC Accuracy: 65.8. Result ID: 6a02db3b47f34ce924e5618d. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Year":"2017","Backbone":"CLIP ViT-B/16","Method Category":"Conventional"}. This record does not assert independent reproduction. ### LwF Accuracy: 65.2. Result ID: 6a02db3b47f34ce924e5618c. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Year":"2017","Backbone":"CLIP ViT-B/16","Method Category":"Conventional"}. This record does not assert independent reproduction. ### Zero-shot Accuracy: 64.4. Result ID: 6a02db3b47f34ce924e5618a. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"CLIP ViT-B/16","Method Category":"Baseline"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.