HyperAI超神経

ホームニュース最新論文チュートリアルデータセット百科事典 SOTA LLMモデル GPU ランキング学会

サイトについて

日本語

HyperAI超神経

Prompt Engineering On Caltech 101

評価指標

Harmonic mean

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

モデル名	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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