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홈뉴스최신 연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
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HyperAI초신경

Zero Shot Learning On Cub 200 2011

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average top-1 classification accuracy

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름
average top-1 classification accuracy
Paper TitleRepository
HDC-ZSC-MLP65.6Zero-shot Classification using Hyperdimensional Computing-
HDC-ZSC63.8Zero-shot Classification using Hyperdimensional Computing-
ZLaP*-Label Propagation for Zero-shot Classification with Vision-Language Models
ZeroDiff87.5Exploring Data Efficiency in Zero-Shot Learning with Diffusion Models-
f-VAEGAN-D261.0f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning-
Composer69.4Compositional Fine-Grained Low-Shot Learning-
ZSL_TF-VAEGAN64.9Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification
f-CLSWGAN57.3Feature Generating Networks for Zero-Shot Learning
DUET72.3DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning
ZLaP-Label Propagation for Zero-shot Classification with Vision-Language Models
LisGAN58.8Leveraging the Invariant Side of Generative Zero-Shot Learning
SPOT62.9Synthetic Sample Selection for Generalized Zero-Shot Learning-
TCN59.5Transferable Contrastive Network for Generalized Zero-Shot Learning-
Cycle-WGAN58.6Multi-modal Cycle-consistent Generalized Zero-Shot Learning
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