HyperAIHyperAI超神经
首页资讯论文教程数据集百科SOTALLM 模型天梯GPU 天梯顶会
全站搜索
关于
中文
HyperAIHyperAI超神经
  1. 首页
  2. SOTA
  3. 提示工程
  4. 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

模型名称
Harmonic mean
Paper TitleRepository
CLIP74.83Learning Transferable Visual Models From Natural Language Supervision
PromptSRC85.95Self-regulating Prompts: Foundational Model Adaptation without Forgetting
CoPrompt85.71Consistency-guided Prompt Learning for Vision-Language Models
HPT87.16Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models
MetaPrompt84.52Learning Domain Invariant Prompt for Vision-Language Models
ProMetaR86.70Prompt Learning via Meta-Regularization
DePT86.46DePT: Decoupled Prompt Tuning
CoCoOp81.71Conditional Prompt Learning for Vision-Language Models
RPO84.50Read-only Prompt Optimization for Vision-Language Few-shot Learning
HPT++85.85HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure Modeling
PromptKD90.24PromptKD: Unsupervised Prompt Distillation for Vision-Language Models
MaPLe82.56MaPLe: Multi-modal Prompt Learning
MMRL86.78MMRL: Multi-Modal Representation Learning for Vision-Language Models
0 of 13 row(s) selected.
HyperAI

学习、理解、实践,与社区一起构建人工智能的未来

中文

关于

关于我们数据集帮助

产品

资讯教程数据集百科

链接

TVM 中文Apache TVMOpenBayes

© HyperAI超神经

津ICP备17010941号-1京公网安备11010502038810号京公网安备11010502038810号
TwitterBilibili