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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Prompt Engineering On Ucf101 | SOTA | HyperAI