# Few-shot Image Classification on EuroSAT Source: [Few-shot Image Classification on EuroSAT]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:33:59.808Z Evaluation of Few-shot Image Classification performance on the EuroSAT dataset, reporting accuracy across various K-shot settings (e.g., 1-shot, 5-shot). 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) | EuroSAT | | Metric | Accuracy (1-shot) | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 17 of 17 | | 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 (1-shot)](): Higher is better; unit: PERCENT. - [Accuracy (5-shot)](): Higher is better; unit: PERCENT. - [Accuracy](): Higher is better; unit: PERCENT. ## Recorded results | Method | Accuracy (1-shot) | Result date | Report paper | | --- | --- | --- | --- | | TPN + ATA | 65.94 | Not recorded | 68fa69d21e209131cea24658 | | TPN | 63.9 | Not recorded | 68fa69d21e209131cea24658 | | GNN + ATA | 61.35 | Not recorded | 68fa69d21e209131cea24658 | | RelationNet + ATA | 55.69 | Not recorded | 68fa69d21e209131cea24658 | | GNN + FT | 55.53 | Not recorded | 68fa69d21e209131cea24658 | | GNN + LRP | 54.99 | Not recorded | 68fa69d21e209131cea24658 | | GNN | 54.61 | Not recorded | 68fa69d21e209131cea24658 | | RelationNet + FT | 53.53 | Not recorded | 68fa69d21e209131cea24658 | | TPN + FT | 52.68 | Not recorded | 68fa69d21e209131cea24658 | | RelationNet + LRP | 50.99 | Not recorded | 68fa69d21e209131cea24658 | | RelationNet | 49.08 | Not recorded | 68fa69d21e209131cea24658 | ### TPN + ATA Accuracy (1-shot): 65.94. Result ID: 698deb10ffc3901de0998cfc. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Training dataset":"mini-ImageNet","Number of ways":"5-way"}. This record does not assert independent reproduction. ### TPN Accuracy (1-shot): 63.9. Result ID: 698deb10ffc3901de0998cfa. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Training dataset":"mini-ImageNet","Number of ways":"5-way"}. This record does not assert independent reproduction. ### GNN + ATA Accuracy (1-shot): 61.35. Result ID: 698deb10ffc3901de0998cf9. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Training dataset":"mini-ImageNet","Number of ways":"5-way"}. This record does not assert independent reproduction. ### RelationNet + ATA Accuracy (1-shot): 55.69. Result ID: 698deb10ffc3901de0998cf5. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Training dataset":"mini-ImageNet","Number of ways":"5-way"}. This record does not assert independent reproduction. ### GNN + FT Accuracy (1-shot): 55.53. Result ID: 698deb10ffc3901de0998cf7. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Training dataset":"mini-ImageNet","Number of ways":"5-way"}. This record does not assert independent reproduction. ### GNN + LRP Accuracy (1-shot): 54.99. Result ID: 698deb10ffc3901de0998cf8. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Training dataset":"mini-ImageNet","Number of ways":"5-way"}. This record does not assert independent reproduction. ### GNN Accuracy (1-shot): 54.61. Result ID: 698deb10ffc3901de0998cf6. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Training dataset":"mini-ImageNet","Number of ways":"5-way"}. This record does not assert independent reproduction. ### RelationNet + FT Accuracy (1-shot): 53.53. Result ID: 698deb10ffc3901de0998cf3. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Training dataset":"mini-ImageNet","Number of ways":"5-way"}. This record does not assert independent reproduction. ### TPN + FT Accuracy (1-shot): 52.68. Result ID: 698deb10ffc3901de0998cfb. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Training dataset":"mini-ImageNet","Number of ways":"5-way"}. This record does not assert independent reproduction. ### RelationNet + LRP Accuracy (1-shot): 50.99. Result ID: 698deb10ffc3901de0998cf4. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Training dataset":"mini-ImageNet","Number of ways":"5-way"}. This record does not assert independent reproduction. ### RelationNet Accuracy (1-shot): 49.08. Result ID: 698deb10ffc3901de0998cf2. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Training dataset":"mini-ImageNet","Number of ways":"5-way"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.