HyperAI초신경

홈 뉴스 최신 연구 논문 튜토리얼 데이터셋 백과사전 SOTA LLM 모델 GPU 랭킹 컨퍼런스

한국어

HyperAI초신경

Prompt Engineering On Fgvc Aircraft

평가 지표

Harmonic mean

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	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.

Prompt Engineering On Fgvc Aircraft | SOTA | HyperAI초신경