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

العربية

Prompt Engineering On Imagenet

المقاييس

Harmonic mean

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج	Harmonic mean	Paper Title	Repository
PromptKD	77.62	PromptKD: Unsupervised Prompt Distillation for Vision-Language Models
ProMetaR	74.09	Prompt Learning via Meta-Regularization
MaPLe	73.47	MaPLe: Multi-modal Prompt Learning
PromptSRC	74.01	Self-regulating Prompts: Foundational Model Adaptation without Forgetting
RPO	74.00	Read-only Prompt Optimization for Vision-Language Few-shot Learning
Customized Ensemble	75.49	Beyond Sole Strength: Customized Ensembles for Generalized Vision-Language Models
CLIP	70.22	Learning Transferable Visual Models From Natural Language Supervision
MetaPrompt	74.02	Learning Domain Invariant Prompt for Vision-Language Models
MMRL	74.45	MMRL: Multi-Modal Representation Learning for Vision-Language Models
HPT	74.17	Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models
DePT	74.02	DePT: Decoupled Prompt Tuning	-
HPT++	74.24	HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure Modeling
CoCoOp	73.10	Conditional Prompt Learning for Vision-Language Models
CoPrompt	74.33	Consistency-guided Prompt Learning for Vision-Language Models

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