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

العربية

Prompt Engineering On Stanford Cars 1

المقاييس

Harmonic mean

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج	Harmonic mean	Paper Title	Repository
DePT	77.79	DePT: Decoupled Prompt Tuning	-
HPT	75.57	Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models	-
PromptKD	83.13	PromptKD: Unsupervised Prompt Distillation for Vision-Language Models	-
PromptSRC	76.58	Self-regulating Prompts: Foundational Model Adaptation without Forgetting	-
CLIP	68.65	Learning Transferable Visual Models From Natural Language Supervision	-
MMRL	78.06	MMRL: Multi-Modal Representation Learning for Vision-Language Models	-
RPO	74.69	Read-only Prompt Optimization for Vision-Language Few-shot Learning	-
ProMetaR	76.72	Prompt Learning via Meta-Regularization	-
HPT++	75.59	HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure Modeling	-
MetaPrompt	75.48	Learning Domain Invariant Prompt for Vision-Language Models	-
CoCoOp	72.01	Conditional Prompt Learning for Vision-Language Models	-
MaPLe	73.47	MaPLe: Multi-modal Prompt Learning	-
CoPrompt	75.66	Consistency-guided Prompt Learning for Vision-Language Models	-

0 of 13 row(s) selected.

Prompt Engineering On Stanford Cars 1 | SOTA | HyperAI