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SOTA
Prompt Engineering
Prompt Engineering On Oxford 102 Flower
Prompt Engineering On Oxford 102 Flower
评估指标
Harmonic mean
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
Harmonic mean
Paper Title
Repository
CLIP
74.83
Learning Transferable Visual Models From Natural Language Supervision
PromptSRC
85.95
Self-regulating Prompts: Foundational Model Adaptation without Forgetting
CoPrompt
85.71
Consistency-guided Prompt Learning for Vision-Language Models
HPT
87.16
Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models
MetaPrompt
84.52
Learning Domain Invariant Prompt for Vision-Language Models
ProMetaR
86.70
Prompt Learning via Meta-Regularization
DePT
86.46
DePT: Decoupled Prompt Tuning
-
CoCoOp
81.71
Conditional Prompt Learning for Vision-Language Models
RPO
84.50
Read-only Prompt Optimization for Vision-Language Few-shot Learning
HPT++
85.85
HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure Modeling
PromptKD
90.24
PromptKD: Unsupervised Prompt Distillation for Vision-Language Models
MaPLe
82.56
MaPLe: Multi-modal Prompt Learning
MMRL
86.78
MMRL: Multi-Modal Representation Learning for Vision-Language Models
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