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Prompt Engineering On Oxford Iiit Pet Dataset
Prompt Engineering On Oxford Iiit Pet Dataset
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
94.12
Learning Transferable Visual Models From Natural Language Supervision
-
HPT++
96.91
HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure Modeling
-
RPO
96.05
Read-only Prompt Optimization for Vision-Language Few-shot Learning
-
MaPLe
96.58
MaPLe: Multi-modal Prompt Learning
-
DePT
96.37
DePT: Decoupled Prompt Tuning
-
HPT
96.71
Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models
-
ProMetaR
96.49
Prompt Learning via Meta-Regularization
-
MetaPrompt
96.26
Learning Domain Invariant Prompt for Vision-Language Models
-
PromptSRC
96.30
Self-regulating Prompts: Foundational Model Adaptation without Forgetting
-
CoPrompt
96.87
Consistency-guided Prompt Learning for Vision-Language Models
-
MMRL
96.74
MMRL: Multi-Modal Representation Learning for Vision-Language Models
-
CoCoOp
96.43
Conditional Prompt Learning for Vision-Language Models
-
PromptKD
97.15
PromptKD: Unsupervised Prompt Distillation for Vision-Language Models
-
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Prompt Engineering On Oxford Iiit Pet Dataset | SOTA | HyperAI超神经