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

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Prompt Engineering On Oxford 102 Flower

평가 지표

Harmonic mean

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	Harmonic mean	Paper Title	Repository
CLIP	74.83	Learning Transferable Visual Models From Natural Language Supervision	-
PromptSRC	85.95	Self-regulating Prompts: Foundational Model Adaptation without Forgetting	-
CoPrompt	85.71	Consistency-guided Prompt Learning for Vision-Language Models	-
HPT	87.16	Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models	-
MetaPrompt	84.52	Learning Domain Invariant Prompt for Vision-Language Models	-
ProMetaR	86.70	Prompt Learning via Meta-Regularization	-
DePT	86.46	DePT: Decoupled Prompt Tuning	-
CoCoOp	81.71	Conditional Prompt Learning for Vision-Language Models	-
RPO	84.50	Read-only Prompt Optimization for Vision-Language Few-shot Learning	-
HPT++	85.85	HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure Modeling	-
PromptKD	90.24	PromptKD: Unsupervised Prompt Distillation for Vision-Language Models	-
MaPLe	82.56	MaPLe: Multi-modal Prompt Learning	-
MMRL	86.78	MMRL: Multi-Modal Representation Learning for Vision-Language Models	-

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Prompt Engineering On Oxford 102 Flower | SOTA | HyperAI초신경