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

العربية

Prompt Engineering On Caltech 101

المقاييس

Harmonic mean

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج	Harmonic mean	Paper Title	Repository
ProMetaR	96.16	Prompt Learning via Meta-Regularization	-
HPT++	96.96	HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure Modeling	-
MaPLe	96.02	MaPLe: Multi-modal Prompt Learning	-
CoCoOp	95.84	Conditional Prompt Learning for Vision-Language Models	-
PromptSRC	96.02	Self-regulating Prompts: Foundational Model Adaptation without Forgetting	-
HPT	96.65	Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models	-
CLIP	95.40	Learning Transferable Visual Models From Natural Language Supervision	-
CoPrompt	96.55	Consistency-guided Prompt Learning for Vision-Language Models	-
MetaPrompt	96.32	Learning Domain Invariant Prompt for Vision-Language Models	-
RPO	96.03	Read-only Prompt Optimization for Vision-Language Few-shot Learning	-
PromptKD	97.77	PromptKD: Unsupervised Prompt Distillation for Vision-Language Models	-
MMRL	96.68	MMRL: Multi-Modal Representation Learning for Vision-Language Models	-
DePT	96.28	DePT: Decoupled Prompt Tuning	-

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Prompt Engineering On Caltech 101 | SOTA | HyperAI