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Prompt Engineering
Prompt Engineering On Fgvc Aircraft
Prompt Engineering On Fgvc Aircraft
Metrics
Harmonic mean
Results
Performance results of various models on this benchmark
Columns
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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