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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Prompt Engineering On Imagenet | SOTA | HyperAI