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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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