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Zero-Shot Learning 벤치마크

Zero-Shot Learning on SUN Attribute

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average top-1 classification accuracy

59.9 64.25 68.6 72.95 77.3 2017-12 2026-11 f-CLSWGAN — 60.8 (2017-12-04) Cycle-WGAN — 59.9 (2018-08-01) f-VAEGAN — 64.7 (2019-03-25) LisGAN — 61.7 (2019-04-08) TCN — 61.5 (2019-08-16) ZSL_TF-VAEGAN — 66.0 (2020-03-17) DUET (Ours) — 64.4 (2022-07-04) SPOT (VAEGAN) — 66.04 (2023-04-06) ZeroDiff — 77.3 (2024-06-05) f-CLSWGAN — 60.8 (2017-12-04) f-VAEGAN — 64.7 (2019-03-25) ZSL_TF-VAEGAN — 66.0 (2020-03-17) SPOT (VAEGAN) — 66.04 (2023-04-06) ZeroDiff — 77.3 (2024-06-05)
RankModel average top-1 classification accuracyAccuracy SeenAccuracy UnseenH PaperCodeYear
1 ZeroDiff 77.3––– Exploring Data Efficiency in Zero-Shot Learning with Diffusion Models 2024
2 SPOT (VAEGAN) 66.04––– Synthetic Sample Selection for Generalized Zero-Shot Learning 2023
3 ZSL_TF-VAEGAN 66––– Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification akshitac8/tfvaegan 2020
4 f-VAEGAN 64.7––– f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning 2019
5 DUET (Ours) 64.445.845.745.8 DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning zjukg/structure-clip · zjukg/DUET 2022
6 LisGAN 61.7––– Leveraging the Invariant Side of Generative Zero-Shot Learning lijin118/LisGAN 2019
7 TCN 61.5––– Transferable Contrastive Network for Generalized Zero-Shot Learning 2019
8 f-CLSWGAN 60.8––– Feature Generating Networks for Zero-Shot Learning akku1506/Feature-Generating-Networks-for-ZSL · Abhipanda4/Feature-Generating-Networks · mkara44/f-clswgan_pytorch · +1 2017
9 Cycle-WGAN 59.9––– Multi-modal Cycle-consistent Generalized Zero-Shot Learning rfelixmg/frwgan-eccv18 2018
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