# Image Classification on X-TAIL Transfer Source: [Image Classification on X-TAIL Transfer]() Collection index: [llms.txt]() Data updated: 2026-05-22T07:26:01.879Z Evaluation of Image Classification performance on the X-TAIL Transfer dataset, reporting average accuracy across constituent classes (Aircraft, Caltech, DTD, etc.). 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 | Image Classification | | Dataset (including any stated split) | X-TAIL Transfer | | Metric | Accuracy (Caltech) | | 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 (Caltech)](): Higher is better; unit: PERCENT. - [Accuracy (Aircraft)](): Higher is better; unit: PERCENT. - [Accuracy (DTD)](): Higher is better; unit: PERCENT. - [Accuracy (EuroSAT)](): Higher is better; unit: PERCENT. - [Accuracy (Flowers)](): Higher is better; unit: PERCENT. - [Accuracy (Food)](): Higher is better; unit: PERCENT. - [Accuracy (MNIST)](): Higher is better; unit: PERCENT. - [Accuracy (OxPet)](): Higher is better; unit: PERCENT. - [Accuracy (Cars)](): Higher is better; unit: PERCENT. - [Accuracy (SUN397)](): Higher is better; unit: PERCENT. - [Average Accuracy (X-TAIL Transfer)](): Higher is better; unit: PERCENT. ## Recorded results | Method | Accuracy (Caltech) | Result date | Report paper | | --- | --- | --- | --- | | MoRAM | 81.5 | Not recorded | 68fa7c021e209131cea8bd75 | | SD-LoRA | 79.9 | Not recorded | 68fa7c021e209131cea8bd75 | | NoRGa | 78.5 | Not recorded | 68fa7c021e209131cea8bd75 | | MoRAM | 74.5 | Not recorded | 68fa7c021e209131cea8bd75 | | SD-LoRA | 73.7 | Not recorded | 68fa7c021e209131cea8bd75 | | NoRGa | 73.1 | Not recorded | 68fa7c021e209131cea8bd75 | ### MoRAM Accuracy (Caltech): 81.5. Result ID: 6a1004f9fbc373592c0890da. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Protocol":"Last"}. This record does not assert independent reproduction. ### SD-LoRA Accuracy (Caltech): 79.9. Result ID: 6a1004f9fbc373592c0890d9. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Protocol":"Last"}. This record does not assert independent reproduction. ### NoRGa Accuracy (Caltech): 78.5. Result ID: 6a1004f9fbc373592c0890d8. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Protocol":"Last"}. This record does not assert independent reproduction. ### MoRAM Accuracy (Caltech): 74.5. Result ID: 6a1004f9fbc373592c0890d4. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Protocol":"Transfer"}. This record does not assert independent reproduction. ### SD-LoRA Accuracy (Caltech): 73.7. Result ID: 6a1004f9fbc373592c0890d3. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Protocol":"Transfer"}. This record does not assert independent reproduction. ### NoRGa Accuracy (Caltech): 73.1. Result ID: 6a1004f9fbc373592c0890d2. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Protocol":"Transfer"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.