# 5-way Few-Shot Image Classification on tiered-ImageNet 608 classes (test) Source: [5-way Few-Shot Image Classification on tiered-ImageNet 608 classes (test)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:27:46.328Z Evaluation of 5-way few-shot image classification performance on the test split of the tieredImageNet dataset, specifically using the 608 classes configuration, measured by accuracy. 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 | 5-way Few-Shot Image Classification | | Dataset (including any stated split) | tiered-ImageNet 608 classes (test) | | Metric | Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 18 of 18 | | 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 | | --- | --- | --- | --- | | SimpleShot(UN) | 85.69 | Not recorded | 68fa68d71e209131cea1e8eb | | LEO | 81.44 | Not recorded | 68fa68d71e209131cea1e8eb | | MTUNet | 80.05 | Not recorded | 68fa68d71e209131cea1e8eb | | Meta SGD | 79.34 | Not recorded | 68fa68d71e209131cea1e8eb | | MTUNet | 77.82 | Not recorded | 68fa68d71e209131cea1e8eb | | ProtoNet | 72.69 | Not recorded | 68fa68d71e209131cea1e8eb | | RelationNet | 71.32 | Not recorded | 68fa68d71e209131cea1e8eb | | MAML | 70.3 | Not recorded | 68fa68d71e209131cea1e8eb | | Reptile | 66.47 | Not recorded | 68fa68d71e209131cea1e8eb | | LEO | 66.33 | Not recorded | 68fa68d71e209131cea1e8eb | | SimpleShot(UN) | 64.35 | Not recorded | 68fa68d71e209131cea1e8eb | | Meta SGD | 62.95 | Not recorded | 68fa68d71e209131cea1e8eb | | MTUNet | 62.42 | Not recorded | 68fa68d71e209131cea1e8eb | | MTUNet | 61.27 | Not recorded | 68fa68d71e209131cea1e8eb | | RelationNet | 54.48 | Not recorded | 68fa68d71e209131cea1e8eb | | ProtoNet | 53.31 | Not recorded | 68fa68d71e209131cea1e8eb | | MAML | 51.67 | Not recorded | 68fa68d71e209131cea1e8eb | | Reptile | 48.97 | Not recorded | 68fa68d71e209131cea1e8eb | ### SimpleShot(UN) Accuracy: 85.69. Result ID: 698d87a38b517eb433222bf3. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"number of shots":"5-shot"}. This record does not assert independent reproduction. ### LEO Accuracy: 81.44. Result ID: 698d87a38b517eb433222bf5. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"number of shots":"5-shot"}. This record does not assert independent reproduction. ### MTUNet Accuracy: 80.05. Result ID: 698d87a38b517eb433222bf9. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"backbone":"WRN","number of shots":"5-shot"}. This record does not assert independent reproduction. ### Meta SGD Accuracy: 79.34. Result ID: 698d87a38b517eb433222bf1. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"number of shots":"5-shot"}. This record does not assert independent reproduction. ### MTUNet Accuracy: 77.82. Result ID: 698d87a38b517eb433222bf7. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"backbone":"ResNet-18","number of shots":"5-shot"}. This record does not assert independent reproduction. ### ProtoNet Accuracy: 72.69. Result ID: 698d87a38b517eb433222bed. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"number of shots":"5-shot"}. This record does not assert independent reproduction. ### RelationNet Accuracy: 71.32. Result ID: 698d87a38b517eb433222bef. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"number of shots":"5-shot"}. This record does not assert independent reproduction. ### MAML Accuracy: 70.3. Result ID: 698d87a38b517eb433222beb. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"number of shots":"5-shot"}. This record does not assert independent reproduction. ### Reptile Accuracy: 66.47. Result ID: 698d87a38b517eb433222be9. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"number of shots":"5-shot"}. This record does not assert independent reproduction. ### LEO Accuracy: 66.33. Result ID: 698d87a38b517eb433222bf4. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"number of shots":"1-shot"}. This record does not assert independent reproduction. ### SimpleShot(UN) Accuracy: 64.35. Result ID: 698d87a38b517eb433222bf2. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"number of shots":"1-shot"}. This record does not assert independent reproduction. ### Meta SGD Accuracy: 62.95. Result ID: 698d87a38b517eb433222bf0. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"number of shots":"1-shot"}. This record does not assert independent reproduction. ### MTUNet Accuracy: 62.42. Result ID: 698d87a38b517eb433222bf8. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"backbone":"WRN","number of shots":"1-shot"}. This record does not assert independent reproduction. ### MTUNet Accuracy: 61.27. Result ID: 698d87a38b517eb433222bf6. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"backbone":"ResNet-18","number of shots":"1-shot"}. This record does not assert independent reproduction. ### RelationNet Accuracy: 54.48. Result ID: 698d87a38b517eb433222bee. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"number of shots":"1-shot"}. This record does not assert independent reproduction. ### ProtoNet Accuracy: 53.31. Result ID: 698d87a38b517eb433222bec. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"number of shots":"1-shot"}. This record does not assert independent reproduction. ### MAML Accuracy: 51.67. Result ID: 698d87a38b517eb433222bea. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"number of shots":"1-shot"}. This record does not assert independent reproduction. ### Reptile Accuracy: 48.97. Result ID: 698d87a38b517eb433222be8. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"number of shots":"1-shot"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.