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SotA/Natural Language Processing/Prompt Engineering/Caltech-101

Prompt Engineering on Caltech-101

Metric: Harmonic mean (higher is better)

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#Model↕Harmonic mean▼Extra DataPaperDate↕Code
1PromptKD97.77NoPromptKD: Unsupervised Prompt Distillation for V...2024-03-05Code
2HPT++96.96NoHPT++: Hierarchically Prompting Vision-Language ...2024-08-27Code
3MMRL++96.75NoMMRL++: Parameter-Efficient and Interaction-Awar...2025-05-15Code
4MMRL96.68NoMMRL: Multi-Modal Representation Learning for Vi...2025-03-11Code
5HPT96.65NoLearning Hierarchical Prompt with Structured Lin...2023-12-11Code
6CoPrompt96.55NoConsistency-guided Prompt Learning for Vision-La...2023-06-01Code
7MetaPrompt96.32NoLearning Domain Invariant Prompt for Vision-Lang...2022-12-08Code
8DePT96.28NoDePT: Decoupled Prompt Tuning2023-09-14Code
9ProMetaR96.16NoPrompt Learning via Meta-Regularization2024-04-01Code
10RPO96.03NoRead-only Prompt Optimization for Vision-Languag...2023-08-29Code
11PromptSRC96.02NoSelf-regulating Prompts: Foundational Model Adap...2023-07-13Code
12MaPLe96.02NoMaPLe: Multi-modal Prompt Learning2022-10-06Code
13CoCoOp95.84NoConditional Prompt Learning for Vision-Language ...2022-03-10Code
14CLIP95.4NoLearning Transferable Visual Models From Natural...2021-02-26Code