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SotA/Natural Language Processing/Prompt Engineering/Oxford-IIIT Pet Dataset

Prompt Engineering on Oxford-IIIT Pet Dataset

Metric: Harmonic mean (higher is better)

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#Model↕Harmonic mean▼Extra DataPaperDate↕Code
1PromptKD97.15NoPromptKD: Unsupervised Prompt Distillation for V...2024-03-05Code
2HPT++96.91NoHPT++: Hierarchically Prompting Vision-Language ...2024-08-27Code
3CoPrompt96.87NoConsistency-guided Prompt Learning for Vision-La...2023-06-01Code
4MMRL96.74NoMMRL: Multi-Modal Representation Learning for Vi...2025-03-11Code
5HPT96.71NoLearning Hierarchical Prompt with Structured Lin...2023-12-11Code
6MaPLe96.58NoMaPLe: Multi-modal Prompt Learning2022-10-06Code
7MMRL++96.51NoMMRL++: Parameter-Efficient and Interaction-Awar...2025-05-15Code
8ProMetaR96.49NoPrompt Learning via Meta-Regularization2024-04-01Code
9CoCoOp96.43NoConditional Prompt Learning for Vision-Language ...2022-03-10Code
10DePT96.37NoDePT: Decoupled Prompt Tuning2023-09-14Code
11PromptSRC96.3NoSelf-regulating Prompts: Foundational Model Adap...2023-07-13Code
12MetaPrompt96.26NoLearning Domain Invariant Prompt for Vision-Lang...2022-12-08Code
13RPO96.05NoRead-only Prompt Optimization for Vision-Languag...2023-08-29Code
14CLIP94.12NoLearning Transferable Visual Models From Natural...2021-02-26Code