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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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