HyperAI초신경

홈 뉴스 최신 연구 논문 튜토리얼 데이터셋 백과사전 SOTA LLM 모델 GPU 랭킹 컨퍼런스

한국어

HyperAI초신경

Prompt Engineering On Stanford Cars 1

평가 지표

Harmonic mean

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	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	-

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