TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

SotA/Natural Language Processing/Prompt Engineering/Oxford 102 Flower

Prompt Engineering on Oxford 102 Flower

Metric: Harmonic mean (higher is better)

LeaderboardDataset
Loading chart...

Results

Submit a result
#Model↕Harmonic mean▼Extra DataPaperDate↕Code
1PromptKD90.24NoPromptKD: Unsupervised Prompt Distillation for V...2024-03-05Code
2HPT87.16NoLearning Hierarchical Prompt with Structured Lin...2023-12-11Code
3MMRL++87.01NoMMRL++: Parameter-Efficient and Interaction-Awar...2025-05-15Code
4MMRL86.78NoMMRL: Multi-Modal Representation Learning for Vi...2025-03-11Code
5ProMetaR86.7NoPrompt Learning via Meta-Regularization2024-04-01Code
6DePT86.46NoDePT: Decoupled Prompt Tuning2023-09-14Code
7PromptSRC85.95NoSelf-regulating Prompts: Foundational Model Adap...2023-07-13Code
8HPT++85.85NoHPT++: Hierarchically Prompting Vision-Language ...2024-08-27Code
9CoPrompt85.71NoConsistency-guided Prompt Learning for Vision-La...2023-06-01Code
10MetaPrompt84.52NoLearning Domain Invariant Prompt for Vision-Lang...2022-12-08Code
11RPO84.5NoRead-only Prompt Optimization for Vision-Languag...2023-08-29Code
12MaPLe82.56NoMaPLe: Multi-modal Prompt Learning2022-10-06Code
13CoCoOp81.71NoConditional Prompt Learning for Vision-Language ...2022-03-10Code
14CLIP74.83NoLearning Transferable Visual Models From Natural...2021-02-26Code