HyperAI超神经
首页
资讯
最新论文
教程
数据集
百科
SOTA
LLM 模型天梯
GPU 天梯
顶会
开源项目
全站搜索
关于
中文
HyperAI超神经
Toggle sidebar
全站搜索…
⌘
K
首页
SOTA
提示工程
Prompt Engineering On Caltech 101
Prompt Engineering On Caltech 101
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
ProMetaR
96.16
Prompt Learning via Meta-Regularization
HPT++
96.96
HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure Modeling
MaPLe
96.02
MaPLe: Multi-modal Prompt Learning
CoCoOp
95.84
Conditional Prompt Learning for Vision-Language Models
PromptSRC
96.02
Self-regulating Prompts: Foundational Model Adaptation without Forgetting
HPT
96.65
Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models
CLIP
95.40
Learning Transferable Visual Models From Natural Language Supervision
CoPrompt
96.55
Consistency-guided Prompt Learning for Vision-Language Models
MetaPrompt
96.32
Learning Domain Invariant Prompt for Vision-Language Models
RPO
96.03
Read-only Prompt Optimization for Vision-Language Few-shot Learning
PromptKD
97.77
PromptKD: Unsupervised Prompt Distillation for Vision-Language Models
MMRL
96.68
MMRL: Multi-Modal Representation Learning for Vision-Language Models
DePT
96.28
DePT: Decoupled Prompt Tuning
-
0 of 13 row(s) selected.
Previous
Next