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Prompt Engineering On Fgvc Aircraft

Metrics

Harmonic mean

Results

Performance results of various models on this benchmark

Model Name	Harmonic mean	Paper Title	Repository
MaPLe	36.50	MaPLe: Multi-modal Prompt Learning	-
MetaPrompt	38.24	Learning Domain Invariant Prompt for Vision-Language Models	-
PromptKD	45.17	PromptKD: Unsupervised Prompt Distillation for Vision-Language Models	-
MMRL	41.15	MMRL: Multi-Modal Representation Learning for Vision-Language Models	-
CoCoOp	27.74	Conditional Prompt Learning for Vision-Language Models	-
HPT++	41.33	HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure Modeling	-
RPO	35.70	Read-only Prompt Optimization for Vision-Language Few-shot Learning	-
ProMetaR	40.25	Prompt Learning via Meta-Regularization	-
CLIP	31.09	Learning Transferable Visual Models From Natural Language Supervision	-
PromptSRC	40.15	Self-regulating Prompts: Foundational Model Adaptation without Forgetting	-
DePT	40.73	DePT: Decoupled Prompt Tuning	-
CoPrompt	39.76	Consistency-guided Prompt Learning for Vision-Language Models	-
HPT	40.28	Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models	-

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