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  4. Prompt Engineering On Ucf101

Prompt Engineering On Ucf101

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
PromptKD86.10PromptKD: Unsupervised Prompt Distillation for Vision-Language Models-
MetaPrompt81.35Learning Domain Invariant Prompt for Vision-Language Models-
MaPLe80.82MaPLe: Multi-modal Prompt Learning-
PromptSRC82.74Self-regulating Prompts: Foundational Model Adaptation without Forgetting-
HPT83.16Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models-
MMRL83.89MMRL: Multi-Modal Representation Learning for Vision-Language Models-
CoPrompt83.07Consistency-guided Prompt Learning for Vision-Language Models-
ProMetaR83.25Prompt Learning via Meta-Regularization-
CLIP73.85Learning Transferable Visual Models From Natural Language Supervision-
HPT++83.81HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure Modeling-
CoCoOp77.64Conditional Prompt Learning for Vision-Language Models-
RPO79.34Read-only Prompt Optimization for Vision-Language Few-shot Learning-
DePT82.46DePT: Decoupled Prompt Tuning-
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