# Few-Shot Image Classification on miniImagenet (1-shot, 5-shot) Source: [Few-Shot Image Classification on miniImagenet (1-shot, 5-shot)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:21:02.209Z Evaluation of Few-Shot Image Classification performance on the miniImagenet dataset, specifically reporting 1-shot and 5-shot 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 | Image Classification | | Dataset (including any stated split) | miniImagenet | | Metric | 1-Shot Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 16 of 16 | | 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 - [1-Shot Accuracy](): Higher is better; unit: PERCENT. - [5-Shot Accuracy](): Higher is better; unit: PERCENT. ## Recorded results | Method | 1-Shot Accuracy | Result date | Report paper | | --- | --- | --- | --- | | Ours-Cosine | 74.74 | Not recorded | 68fa6c0e1e209131cea31c41 | | Ours-Classifier | 74.62 | Not recorded | 68fa6c0e1e209131cea31c41 | | PAL | 69.37 | Not recorded | 68fa6c0e1e209131cea31c41 | | COSOC | 69.28 | Not recorded | 68fa6c0e1e209131cea31c41 | | CSEI | 68.94 | Not recorded | 68fa6c0e1e209131cea31c41 | | DC | 68.57 | Not recorded | 68fa6c0e1e209131cea31c41 | | CNL | 67.96 | Not recorded | 68fa6c0e1e209131cea31c41 | | DMF | 67.76 | Not recorded | 68fa6c0e1e209131cea31c41 | | TPMN | 67.64 | Not recorded | 68fa6c0e1e209131cea31c41 | | MELR | 67.4 | Not recorded | 68fa6c0e1e209131cea31c41 | | METAQDA | 67.38 | Not recorded | 68fa6c0e1e209131cea31c41 | | IE | 67.28 | Not recorded | 68fa6c0e1e209131cea31c41 | | MN + MC | 67.14 | Not recorded | 68fa6c0e1e209131cea31c41 | | BML | 67.04 | Not recorded | 68fa6c0e1e209131cea31c41 | | DeepEMD | 65.91 | Not recorded | 68fa6c0e1e209131cea31c41 | | Baseline-Cosine | 52.92 | Not recorded | 68fa6c0e1e209131cea31c41 | ### Ours-Cosine 1-Shot Accuracy: 74.74. Result ID: 698ec060ffc3901de0a0bede. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"backbone":"ViT-S"}. This record does not assert independent reproduction. ### Ours-Classifier 1-Shot Accuracy: 74.62. Result ID: 698ec060ffc3901de0a0bedf. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"backbone":"ViT-S"}. This record does not assert independent reproduction. ### PAL 1-Shot Accuracy: 69.37. Result ID: 698ec060ffc3901de0a0bed4. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"backbone":"ResNet-12"}. This record does not assert independent reproduction. ### COSOC 1-Shot Accuracy: 69.28. Result ID: 698ec060ffc3901de0a0beda. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"backbone":"ResNet-12"}. This record does not assert independent reproduction. ### CSEI 1-Shot Accuracy: 68.94. Result ID: 698ec060ffc3901de0a0bedb. [Reporting paper]() Recorded evaluation configuration: {"backbone":"ResNet-12"}. This record does not assert independent reproduction. ### DC 1-Shot Accuracy: 68.57. Result ID: 698ec060ffc3901de0a0bed8. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"backbone":"WRN-28-10"}. This record does not assert independent reproduction. ### CNL 1-Shot Accuracy: 67.96. Result ID: 698ec060ffc3901de0a0bedc. [Reporting paper]() Recorded evaluation configuration: {"backbone":"ResNet-12"}. This record does not assert independent reproduction. ### DMF 1-Shot Accuracy: 67.76. Result ID: 698ec060ffc3901de0a0bed2. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"backbone":"ResNet-12"}. This record does not assert independent reproduction. ### TPMN 1-Shot Accuracy: 67.64. Result ID: 698ec060ffc3901de0a0bed6. [Reporting paper]() Recorded evaluation configuration: {"backbone":"ResNet-12"}. This record does not assert independent reproduction. ### MELR 1-Shot Accuracy: 67.4. Result ID: 698ec060ffc3901de0a0bed9. [Reporting paper]() Recorded evaluation configuration: {"backbone":"ResNet-12"}. This record does not assert independent reproduction. ### METAQDA 1-Shot Accuracy: 67.38. Result ID: 698ec060ffc3901de0a0bed5. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"backbone":"WRN"}. This record does not assert independent reproduction. ### IE 1-Shot Accuracy: 67.28. Result ID: 698ec060ffc3901de0a0bed1. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"backbone":"ResNet-12"}. This record does not assert independent reproduction. ### MN + MC 1-Shot Accuracy: 67.14. Result ID: 698ec060ffc3901de0a0bed7. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"backbone":"ResNet-12"}. This record does not assert independent reproduction. ### BML 1-Shot Accuracy: 67.04. Result ID: 698ec060ffc3901de0a0bed3. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"backbone":"ResNet-12"}. This record does not assert independent reproduction. ### DeepEMD 1-Shot Accuracy: 65.91. Result ID: 698ec060ffc3901de0a0bed0. [Reporting paper]() Recorded evaluation configuration: {"backbone":"ResNet-12"}. This record does not assert independent reproduction. ### Baseline-Cosine 1-Shot Accuracy: 52.92. Result ID: 698ec060ffc3901de0a0bedd. [Reporting paper]() Recorded evaluation configuration: {"backbone":"ViT-S"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.