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SotA/Natural Language Processing/Prompt Engineering/ImageNet V2

Prompt Engineering on ImageNet V2

Metric: Top-1 accuracy % (higher is better)

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#Model↕Top-1 accuracy %▼Extra DataPaperDate↕Code
1HPT++65.31NoHPT++: Hierarchically Prompting Vision-Language ...2024-08-27Code
2HPT65.25NoLearning Hierarchical Prompt with Structured Lin...2023-12-11Code
3MMRL64.47NoMMRL: Multi-Modal Representation Learning for Vi...2025-03-11Code
4PromptSRC64.35NoSelf-regulating Prompts: Foundational Model Adap...2023-07-13Code
5MaPLe64.07NoMaPLe: Multi-modal Prompt Learning2022-10-06Code
6CoCoOp64.07NoConditional Prompt Learning for Vision-Language ...2022-03-10Code
7POMP63.8Yes---
8CLIP60.83NoLearning Transferable Visual Models From Natural...2021-02-26Code