# Few-shot classification on ImageNet Source: [Few-shot classification on ImageNet]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:37:37.856Z Evaluation of few-shot classification performance on the standard ImageNet dataset, measured using Base, New, and H metrics. 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 classification | | Dataset (including any stated split) | ImageNet | | Metric | Base Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 11 of 11 | | 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 - [Base Accuracy](): Higher is better; unit: PERCENT. - [New Accuracy](): Higher is better; unit: PERCENT. - [H Accuracy](): Higher is better; unit: PERCENT. ## Recorded results | Method | Base Accuracy | Result date | Report paper | | --- | --- | --- | --- | | AAPE | 78.1 | Not recorded | 68fa75731e209131cea68013 | | PromptSRC | 77.6 | Not recorded | 68fa75731e209131cea68013 | | CLIPood | 77.5 | Not recorded | 68fa75731e209131cea68013 | | OGEN | 77.5 | Not recorded | 68fa75731e209131cea68013 | | ProGrad | 77.02 | Not recorded | 68fa75731e209131cea68013 | | MaPLe | 76.66 | Not recorded | 68fa75731e209131cea68013 | | CoOp | 76.47 | Not recorded | 68fa75731e209131cea68013 | | LASP-V | 76.25 | Not recorded | 68fa75731e209131cea68013 | | CoCoOp | 75.98 | Not recorded | 68fa75731e209131cea68013 | | KgCoOp | 75.83 | Not recorded | 68fa75731e209131cea68013 | | CuPL | 75.05 | Not recorded | 68fa75731e209131cea68013 | ### AAPE Base Accuracy: 78.1. Result ID: 6993c0063a6c3148491843dc. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Prompting Strategy":"LLM-based"}. This record does not assert independent reproduction. ### PromptSRC Base Accuracy: 77.6. Result ID: 6993c0063a6c3148491843d6. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Prompting Strategy":"Prompt learning without language priors"}. This record does not assert independent reproduction. ### CLIPood Base Accuracy: 77.5. Result ID: 6993c0063a6c3148491843d5. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Prompting Strategy":"Prompt learning without language priors"}. This record does not assert independent reproduction. ### OGEN Base Accuracy: 77.5. Result ID: 6993c0063a6c3148491843d7. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Prompting Strategy":"Prompt learning without language priors"}. This record does not assert independent reproduction. ### ProGrad Base Accuracy: 77.02. Result ID: 6993c0063a6c3148491843d8. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Prompting Strategy":"Human-generated prompts"}. This record does not assert independent reproduction. ### MaPLe Base Accuracy: 76.66. Result ID: 6993c0063a6c3148491843d4. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Prompting Strategy":"Prompt learning without language priors"}. This record does not assert independent reproduction. ### CoOp Base Accuracy: 76.47. Result ID: 6993c0063a6c3148491843d2. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Prompting Strategy":"Prompt learning without language priors"}. This record does not assert independent reproduction. ### LASP-V Base Accuracy: 76.25. Result ID: 6993c0063a6c3148491843da. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Prompting Strategy":"Human-generated prompts"}. This record does not assert independent reproduction. ### CoCoOp Base Accuracy: 75.98. Result ID: 6993c0063a6c3148491843d3. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Prompting Strategy":"Prompt learning without language priors"}. This record does not assert independent reproduction. ### KgCoOp Base Accuracy: 75.83. Result ID: 6993c0063a6c3148491843d9. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Prompting Strategy":"Human-generated prompts"}. This record does not assert independent reproduction. ### CuPL Base Accuracy: 75.05. Result ID: 6993c0063a6c3148491843db. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Prompting Strategy":"LLM-based"}. This record does not assert independent reproduction. Page 1 of 1. 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