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

العربية

Prompt Engineering On Eurosat

المقاييس

Harmonic mean

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج	Harmonic mean	Paper Title	Repository
PromptSRC	82.32	Self-regulating Prompts: Foundational Model Adaptation without Forgetting	-
CoPrompt	85.84	Consistency-guided Prompt Learning for Vision-Language Models	-
MMRL	87.21	MMRL: Multi-Modal Representation Learning for Vision-Language Models	-
HPT++	87.36	HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure Modeling	-
MaPLe	82.35	MaPLe: Multi-modal Prompt Learning	-
DePT	84.88	DePT: Decoupled Prompt Tuning	-
PromptKD	89.14	PromptKD: Unsupervised Prompt Distillation for Vision-Language Models	-
MetaPrompt	83.38	Learning Domain Invariant Prompt for Vision-Language Models	-
CLIP	60.03	Learning Transferable Visual Models From Natural Language Supervision	-
RPO	76.79	Read-only Prompt Optimization for Vision-Language Few-shot Learning	-
CoCoOp	71.21	Conditional Prompt Learning for Vision-Language Models	-
HPT	84.82	Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models	-
ProMetaR	85.30	Prompt Learning via Meta-Regularization	-

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Prompt Engineering On Eurosat | SOTA | HyperAI