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Prompt Engineering On Sun397

Métriques

Harmonic mean

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	Harmonic mean	Paper Title	Repository
ProMetaR	80.82	Prompt Learning via Meta-Regularization	-
DePT	81.06	DePT: Decoupled Prompt Tuning	-
PromptKD	82.60	PromptKD: Unsupervised Prompt Distillation for Vision-Language Models	-
CoCoOp	78.27	Conditional Prompt Learning for Vision-Language Models	-
CoPrompt	81.31	Consistency-guided Prompt Learning for Vision-Language Models	-
HPT	80.88	Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models	-
HPT++	81.11	HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure Modeling	-
PromptSRC	80.52	Self-regulating Prompts: Foundational Model Adaptation without Forgetting	-
MMRL	81.20	MMRL: Multi-Modal Representation Learning for Vision-Language Models	-
MaPLe	79.75	MaPLe: Multi-modal Prompt Learning	-
RPO	79.18	Read-only Prompt Optimization for Vision-Language Few-shot Learning	-
CLIP	72.23	Learning Transferable Visual Models From Natural Language Supervision	-
MetaPrompt	80.62	Learning Domain Invariant Prompt for Vision-Language Models	-

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