HyperAI超神経
ホーム
ニュース
最新論文
チュートリアル
データセット
百科事典
SOTA
LLMモデル
GPU ランキング
学会
検索
サイトについて
日本語
HyperAI超神経
Toggle sidebar
サイトを検索…
⌘
K
ホーム
SOTA
Prompt Engineering
Prompt Engineering On Fgvc Aircraft
Prompt Engineering On Fgvc Aircraft
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
MaPLe
36.50
MaPLe: Multi-modal Prompt Learning
MetaPrompt
38.24
Learning Domain Invariant Prompt for Vision-Language Models
PromptKD
45.17
PromptKD: Unsupervised Prompt Distillation for Vision-Language Models
MMRL
41.15
MMRL: Multi-Modal Representation Learning for Vision-Language Models
CoCoOp
27.74
Conditional Prompt Learning for Vision-Language Models
HPT++
41.33
HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure Modeling
RPO
35.70
Read-only Prompt Optimization for Vision-Language Few-shot Learning
ProMetaR
40.25
Prompt Learning via Meta-Regularization
CLIP
31.09
Learning Transferable Visual Models From Natural Language Supervision
PromptSRC
40.15
Self-regulating Prompts: Foundational Model Adaptation without Forgetting
DePT
40.73
DePT: Decoupled Prompt Tuning
-
CoPrompt
39.76
Consistency-guided Prompt Learning for Vision-Language Models
HPT
40.28
Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models
0 of 13 row(s) selected.
Previous
Next