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  4. Prompt Engineering On Oxford Iiit Pet Dataset

Prompt Engineering On Oxford Iiit Pet Dataset

评估指标

Harmonic mean

评测结果

各个模型在此基准测试上的表现结果

模型名称
Harmonic mean
Paper TitleRepository
CLIP94.12Learning Transferable Visual Models From Natural Language Supervision
HPT++96.91HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure Modeling
RPO96.05Read-only Prompt Optimization for Vision-Language Few-shot Learning
MaPLe96.58MaPLe: Multi-modal Prompt Learning
DePT96.37DePT: Decoupled Prompt Tuning
HPT96.71Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models
ProMetaR96.49Prompt Learning via Meta-Regularization
MetaPrompt96.26Learning Domain Invariant Prompt for Vision-Language Models
PromptSRC96.30Self-regulating Prompts: Foundational Model Adaptation without Forgetting
CoPrompt96.87Consistency-guided Prompt Learning for Vision-Language Models
MMRL96.74MMRL: Multi-Modal Representation Learning for Vision-Language Models
CoCoOp96.43Conditional Prompt Learning for Vision-Language Models
PromptKD97.15PromptKD: Unsupervised Prompt Distillation for Vision-Language Models
0 of 13 row(s) selected.
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