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Prompt Engineering On Food 101

평가 지표

Harmonic mean

평가 결과

이 벤치마크에서 각 모델의 성능 결과

		Paper Title
PromptKD	93.05	PromptKD: Unsupervised Prompt Distillation for Vision-Language Models
CoPrompt	91.40	Consistency-guided Prompt Learning for Vision-Language Models
MaPLe	91.38	MaPLe: Multi-modal Prompt Learning
ProMetaR	91.34	Prompt Learning via Meta-Regularization
MetaPrompt	91.29	Learning Domain Invariant Prompt for Vision-Language Models
DePT	91.22	DePT: Decoupled Prompt Tuning
PromptSRC	91.10	Self-regulating Prompts: Foundational Model Adaptation without Forgetting
HPT++	91.09	HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure Modeling
MMRL	91.03	MMRL: Multi-Modal Representation Learning for Vision-Language Models
HPT	91.01	Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models
CoCoOp	90.99	Conditional Prompt Learning for Vision-Language Models
RPO	90.58	Read-only Prompt Optimization for Vision-Language Few-shot Learning

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Prompt Engineering On Food 101 | SOTA | HyperAI초신경