الرئيسية الأخبار الأوراق البحثية الدروس مجموعات البيانات الموسوعة SOTA نماذج LLM لوحة الأداء GPU الفعاليات

العربية

Prompt Engineering On Food 101

المقاييس

Harmonic mean

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج	Harmonic mean	Paper Title	Repository
ProMetaR	91.34	Prompt Learning via Meta-Regularization
HPT++	91.09	HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure Modeling
PromptSRC	91.10	Self-regulating Prompts: Foundational Model Adaptation without Forgetting
HPT	91.01	Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models
MaPLe	91.38	MaPLe: Multi-modal Prompt Learning
MMRL	91.03	MMRL: Multi-Modal Representation Learning for Vision-Language Models
CoCoOp	90.99	Conditional Prompt Learning for Vision-Language Models
MetaPrompt	91.29	Learning Domain Invariant Prompt for Vision-Language Models
DePT	91.22	DePT: Decoupled Prompt Tuning
CoPrompt	91.40	Consistency-guided Prompt Learning for Vision-Language Models
PromptKD	93.05	PromptKD: Unsupervised Prompt Distillation for Vision-Language Models
RPO	90.58	Read-only Prompt Optimization for Vision-Language Few-shot Learning

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