# Few-shot Image Classification on CIFAR-FS 5-way 5-shot Source: [Few-shot Image Classification on CIFAR-FS 5-way 5-shot]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:51:51.636Z Evaluation of Few-Shot Image Classification performance on the CIFAR-FS dataset configured for 5-way, 5-shot learning, reporting mean accuracy and confidence intervals. 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 | Few-shot Image Classification | | Dataset (including any stated split) | CIFAR-FS 5-way 5-shot | | Metric | Mean 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 - [Mean Accuracy](): Higher is better; unit: PERCENT. - [95% CI](): Lower is better; unit: SCALAR. ## Recorded results | Method | Mean Accuracy | Result date | Report paper | | --- | --- | --- | --- | | PMF | 92.5 | Not recorded | 68fa72ba1e209131cea5833f | | PT-MAP | 90.7 | Not recorded | 68fa72ba1e209131cea5833f | | FewTure | 88.4 | Not recorded | 68fa72ba1e209131cea5833f | | PLCM | 86.1 | Not recorded | 68fa72ba1e209131cea5833f | | ProtoNet | 86.1 | Not recorded | 68fa72ba1e209131cea5833f | | Fine-tuning | 85.8 | Not recorded | 68fa72ba1e209131cea5833f | | SIB | 85.3 | Not recorded | 68fa72ba1e209131cea5833f | | MetaOpt-SVM | 84.2 | Not recorded | 68fa72ba1e209131cea5833f | | DIPA | 81.1 | Not recorded | 68fa72ba1e209131cea5833f | ### PMF Mean Accuracy: 92.5. Result ID: 699257123a6c3148490e4a88. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Backbone":"ViT-small","Training strategy":"Self-Supervised + MT","Extra data":false,"Extra labels":false}. This record does not assert independent reproduction. ### PT-MAP Mean Accuracy: 90.7. Result ID: 699257123a6c3148490e4a83. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Backbone":"WRN-28-10","Training strategy":"Transductive","Extra data":false,"Extra labels":true}. This record does not assert independent reproduction. ### FewTure Mean Accuracy: 88.4. Result ID: 699257123a6c3148490e4a86. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ViT-small","Training strategy":"Self-Supervised","Extra data":false,"Extra labels":false}. This record does not assert independent reproduction. ### PLCM Mean Accuracy: 86.1. Result ID: 699257123a6c3148490e4a84. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"ResNet12","Training strategy":"Semi-Supervised","Extra data":false,"Extra labels":true}. This record does not assert independent reproduction. ### ProtoNet Mean Accuracy: 86.1. Result ID: 699257123a6c3148490e4a85. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"WRN-28-10","Training strategy":"Self-Supervised","Extra data":false,"Extra labels":false}. This record does not assert independent reproduction. ### Fine-tuning Mean Accuracy: 85.8. Result ID: 699257123a6c3148490e4a81. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"WRN-28-10","Training strategy":"Transductive","Extra data":false,"Extra labels":true}. This record does not assert independent reproduction. ### SIB Mean Accuracy: 85.3. Result ID: 699257123a6c3148490e4a82. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Backbone":"WRN-28-10","Training strategy":"Transductive","Extra data":false,"Extra labels":true}. This record does not assert independent reproduction. ### MetaOpt-SVM Mean Accuracy: 84.2. Result ID: 699257123a6c3148490e4a80. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Backbone":"ResNet12","Training strategy":"Inductive","Extra data":false,"Extra labels":false}. This record does not assert independent reproduction. ### DIPA Mean Accuracy: 81.1. Result ID: 699257123a6c3148490e4a87. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Backbone":"ViT-small","Training strategy":"Self-Supervised","Extra data":false,"Extra labels":false}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.