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

العربية

Prompt Engineering On Ucf101

المقاييس

Harmonic mean

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج	Harmonic mean	Paper Title	Repository
PromptKD	86.10	PromptKD: Unsupervised Prompt Distillation for Vision-Language Models
MetaPrompt	81.35	Learning Domain Invariant Prompt for Vision-Language Models
MaPLe	80.82	MaPLe: Multi-modal Prompt Learning
PromptSRC	82.74	Self-regulating Prompts: Foundational Model Adaptation without Forgetting
HPT	83.16	Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models
MMRL	83.89	MMRL: Multi-Modal Representation Learning for Vision-Language Models
CoPrompt	83.07	Consistency-guided Prompt Learning for Vision-Language Models
ProMetaR	83.25	Prompt Learning via Meta-Regularization
CLIP	73.85	Learning Transferable Visual Models From Natural Language Supervision
HPT++	83.81	HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure Modeling
CoCoOp	77.64	Conditional Prompt Learning for Vision-Language Models
RPO	79.34	Read-only Prompt Optimization for Vision-Language Few-shot Learning
DePT	82.46	DePT: Decoupled Prompt Tuning	-

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