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SOTA
Prompt Engineering
Prompt Engineering On Sun397
Prompt Engineering On Sun397
평가 지표
Harmonic mean
평가 결과
이 벤치마크에서 각 모델의 성능 결과
Columns
모델 이름
Harmonic mean
Paper Title
Repository
ProMetaR
80.82
Prompt Learning via Meta-Regularization
DePT
81.06
DePT: Decoupled Prompt Tuning
-
PromptKD
82.60
PromptKD: Unsupervised Prompt Distillation for Vision-Language Models
CoCoOp
78.27
Conditional Prompt Learning for Vision-Language Models
CoPrompt
81.31
Consistency-guided Prompt Learning for Vision-Language Models
HPT
80.88
Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models
HPT++
81.11
HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure Modeling
PromptSRC
80.52
Self-regulating Prompts: Foundational Model Adaptation without Forgetting
MMRL
81.20
MMRL: Multi-Modal Representation Learning for Vision-Language Models
MaPLe
79.75
MaPLe: Multi-modal Prompt Learning
RPO
79.18
Read-only Prompt Optimization for Vision-Language Few-shot Learning
CLIP
72.23
Learning Transferable Visual Models From Natural Language Supervision
MetaPrompt
80.62
Learning Domain Invariant Prompt for Vision-Language Models
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