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

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HyperAI초신경

Cross Domain Few Shot On Cub

평가 지표

5 shot

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	5 shot	Paper Title	Repository
StyleAdv-FT	70.90	StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning
MSENet	71.59	Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms
ATA-FT	69.83	Cross-Domain Few-Shot Classification via Adversarial Task Augmentation
ATA	66.22	Cross-Domain Few-Shot Classification via Adversarial Task Augmentation
FWT	66.98	Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation
AFA	68.25	Adversarial Feature Augmentation for Cross-domain Few-shot Classification
StyleAdv	68.72	StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning
wave-SAN	70.31	Wave-SAN: Wavelet based Style Augmentation Network for Cross-Domain Few-Shot Learning
BSCD-FSL	64.14	A Broader Study of Cross-Domain Few-Shot Learning

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Cross Domain Few Shot On Cub | SOTA | HyperAI초신경