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ホーム
SOTA
Prompt Engineering
Prompt Engineering On Imagenet
Prompt Engineering On Imagenet
評価指標
Harmonic mean
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
Columns
モデル名
Harmonic mean
Paper Title
Repository
PromptKD
77.62
PromptKD: Unsupervised Prompt Distillation for Vision-Language Models
ProMetaR
74.09
Prompt Learning via Meta-Regularization
MaPLe
73.47
MaPLe: Multi-modal Prompt Learning
PromptSRC
74.01
Self-regulating Prompts: Foundational Model Adaptation without Forgetting
RPO
74.00
Read-only Prompt Optimization for Vision-Language Few-shot Learning
Customized Ensemble
75.49
Beyond Sole Strength: Customized Ensembles for Generalized Vision-Language Models
CLIP
70.22
Learning Transferable Visual Models From Natural Language Supervision
MetaPrompt
74.02
Learning Domain Invariant Prompt for Vision-Language Models
MMRL
74.45
MMRL: Multi-Modal Representation Learning for Vision-Language Models
HPT
74.17
Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models
DePT
74.02
DePT: Decoupled Prompt Tuning
-
HPT++
74.24
HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure Modeling
CoCoOp
73.10
Conditional Prompt Learning for Vision-Language Models
CoPrompt
74.33
Consistency-guided Prompt Learning for Vision-Language Models
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